[Docs] Revamp documentation (#1010)
This commit is contained in:
Deshraj Yadav
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docs/examples/community/showcase.mdx
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docs/examples/community/showcase.mdx
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---
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title: '🎪 Community showcase'
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---
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Embedchain community has been super active in creating demos on top of Embedchain. On this page, we showcase all the apps, blogs, videos, and tutorials created by the community. ❤️
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## Apps
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### Open Source
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- [My GSoC23 bot- Streamlit chat](https://github.com/lucifertrj/EmbedChain_GSoC23_BOT) by Tarun Jain
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- [Discord Bot for LLM chat](https://github.com/Reidond/discord_bots_playground/tree/c8b0c36541e4b393782ee506804c4b6962426dd6/python/chat-channel-bot) by Reidond
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- [EmbedChain-Streamlit-Docker App](https://github.com/amjadraza/embedchain-streamlit-app) by amjadraza
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- [Harry Potter Philosphers Stone Bot](https://github.com/vinayak-kempawad/Harry_Potter_Philosphers_Stone_Bot/) by Vinayak Kempawad, ([LinkedIn post](https://www.linkedin.com/feed/update/urn:li:activity:7080907532155686912/))
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- [LLM bot trained on own messages](https://github.com/Harin329/harinBot) by Hao Wu
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### Closed Source
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- [Taobot.io](https://taobot.io) - chatbot & knowledgebase hybrid by [cachho](https://github.com/cachho)
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- [Create Instant ChatBot 🤖 using embedchain](https://databutton.com/v/h3e680h9) by Avra, ([Tweet](https://twitter.com/Avra_b/status/1674704745154641920/))
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- [JOBO 🤖 — The AI-driven sidekick to craft your resume](https://try-jobo.com/) by Enrico Willemse, ([LinkedIn Post](https://www.linkedin.com/posts/enrico-willemse_jobai-gptfun-embedchain-activity-7090340080879374336-ueLB/))
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- [Explore Your Knowledge Base: Interactive chats over various forms of documents](https://chatdocs.dkedar.com/) by Kedar Dabhadkar, ([LinkedIn Post](https://www.linkedin.com/posts/dkedar7_machinelearning-llmops-activity-7092524836639424513-2O3L/))
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- [Chatbot trained on 1000+ videos of Ester hicks the co-author behind the famous book Secret](https://ask-abraham.thoughtseed.repl.co) by Mohan Kumar
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## Templates
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### Replit
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- [Embedchain Chat Bot](https://replit.com/@taranjeet1/Embedchain-Chat-Bot) by taranjeetio
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- [Embedchain Memory Chat Bot Template](https://replit.com/@taranjeetio/Embedchain-Memory-Chat-Bot-Template) by taranjeetio
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- [Chatbot app to demonstrate question-answering using retrieved information](https://replit.com/@AllisonMorrell/EmbedChainlitPublic) by Allison Morrell, ([LinkedIn Post](https://www.linkedin.com/posts/allison-morrell-2889275a_retrievalbot-screenshots-activity-7080339991754649600-wihZ/))
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## Posts
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### Blogs
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- [Customer Service LINE Bot](https://www.evanlin.com/langchain-embedchain/) by Evan Lin
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- [Chatbot in Under 5 mins using Embedchain](https://medium.com/@ayush.wattal/chatbot-in-under-5-mins-using-embedchain-a4f161fcf9c5) by Ayush Wattal
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- [Understanding what the LLM framework embedchain does](https://zenn.dev/hijikix/articles/4bc8d60156a436) by Daisuke Hashimoto
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- [In bed with GPT and Node.js](https://dev.to/worldlinetech/in-bed-with-gpt-and-nodejs-4kh2) by Raphaël Semeteys, ([LinkedIn Post](https://www.linkedin.com/posts/raphaelsemeteys_in-bed-with-gpt-and-nodejs-activity-7088113552326029313-nn87/))
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- [Using Embedchain — A powerful LangChain Python wrapper to build Chat Bots even faster!⚡](https://medium.com/@avra42/using-embedchain-a-powerful-langchain-python-wrapper-to-build-chat-bots-even-faster-35c12994a360) by Avra, ([Tweet](https://twitter.com/Avra_b/status/1686767751560310784/))
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- [What is the Embedchain library?](https://jahaniwww.com/%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-embedchain/) by Ali Jahani, ([LinkedIn Post](https://www.linkedin.com/posts/ajahani_aepaetaeqaexaggahyaeu-aetaexaesabraeaaeqaepaeu-activity-7097605202135904256-ppU-/))
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- [LangChain is Nice, But Have You Tried EmbedChain ?](https://medium.com/thoughts-on-machine-learning/langchain-is-nice-but-have-you-tried-embedchain-215a34421cde) by FS Ndzomga, ([Tweet](https://twitter.com/ndzfs/status/1695583640372035951/))
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- [Simplest Method to Build a Custom Chatbot with GPT-3.5 (via Embedchain)](https://www.ainewsletter.today/p/simplest-method-to-build-a-custom) by Arjun, ([Tweet](https://twitter.com/aiguy_arjun/status/1696393808467091758/))
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### LinkedIn
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- [What is embedchain](https://www.linkedin.com/posts/activity-7079393104423698432-wRyi/) by Rithesh Sreenivasan
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- [Building a chatbot with EmbedChain](https://www.linkedin.com/posts/activity-7078434598984060928-Zdso/) by Lior Sinclair
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- [Making chatbot without vs with embedchain](https://www.linkedin.com/posts/kalyanksnlp_llms-chatbots-langchain-activity-7077453416221863936-7N1L/) by Kalyan KS
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- [EmbedChain - very intuitive, first you index your data and then query!](https://www.linkedin.com/posts/shubhamsaboo_embedchain-a-framework-to-easily-create-activity-7079535460699557888-ad1X/) by Shubham Saboo
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- [EmbedChain - Harnessing power of LLM](https://www.linkedin.com/posts/uditsaini_chatbotrevolution-llmpoweredbots-embedchainframework-activity-7077520356827181056-FjTK/) by Udit S.
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- [AI assistant for ABBYY Vantage](https://www.linkedin.com/posts/maximevermeir_llm-github-abbyy-activity-7081658972071424000-fXfZ/) by Maxime V.
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- [About embedchain](https://www.linkedin.com/feed/update/urn:li:activity:7080984218914189312/) by Morris Lee
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- [How to use Embedchain](https://www.linkedin.com/posts/nehaabansal_github-embedchainembedchain-framework-activity-7085830340136595456-kbW5/) by Neha Bansal
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- [Youtube/Webpage summary for Energy Study](https://www.linkedin.com/posts/bar%C4%B1%C5%9F-sanl%C4%B1-34b82715_enerji-python-activity-7082735341563977730-Js0U/) by Barış Sanlı, ([Tweet](https://twitter.com/barissanli/status/1676968784979193857/))
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- [Demo: How to use Embedchain? (Contains Collab Notebook link)](https://www.linkedin.com/posts/liorsinclair_embedchain-is-getting-a-lot-of-traction-because-activity-7103044695995424768-RckT/) by Lior Sinclair
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### Twitter
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- [What is embedchain](https://twitter.com/AlphaSignalAI/status/1672668574450847745) by Lior
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- [Building a chatbot with Embedchain](https://twitter.com/Saboo_Shubham_/status/1673537044419686401) by Shubham Saboo
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- [Chatbot docker image behind an API with yaml configs with Embedchain](https://twitter.com/tricalt/status/1678411430192730113/) by Vasilije
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- [Build AI powered PDF chatbot with just five lines of Python code with Embedchain!](https://twitter.com/Saboo_Shubham_/status/1676627104866156544/) by Shubham Saboo
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- [Chatbot against a youtube video using embedchain](https://twitter.com/smaameri/status/1675201443043704834/) by Sami Maameri
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- [Highlights of EmbedChain](https://twitter.com/carl_AIwarts/status/1673542204328120321/) by carl_AIwarts
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- [Build Llama-2 chatbot in less than 5 minutes](https://twitter.com/Saboo_Shubham_/status/1682168956918833152/) by Shubham Saboo
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- [All cool features of embedchain](https://twitter.com/DhravyaShah/status/1683497882438217728/) by Dhravya Shah, ([LinkedIn Post](https://www.linkedin.com/posts/dhravyashah_what-if-i-tell-you-that-you-can-make-an-ai-activity-7089459599287726080-ZIYm/))
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- [Read paid Medium articles for Free using embedchain](https://twitter.com/kumarkaushal_/status/1688952961622585344) by Kaushal Kumar
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## Videos
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- [Embedchain in one shot](https://www.youtube.com/watch?v=vIhDh7H73Ww&t=82s) by AI with Tarun
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- [embedChain Create LLM powered bots over any dataset Python Demo Tesla Neurallink Chatbot Example](https://www.youtube.com/watch?v=bJqAn22a6Gc) by Rithesh Sreenivasan
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- [Embedchain - NEW 🔥 Langchain BABY to build LLM Bots](https://www.youtube.com/watch?v=qj_GNQ06I8o) by 1littlecoder
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- [EmbedChain -- NEW!: Build LLM-Powered Bots with Any Dataset](https://www.youtube.com/watch?v=XmaBezzGHu4) by DataInsightEdge
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- [Chat With Your PDFs in less than 10 lines of code! EMBEDCHAIN tutorial](https://www.youtube.com/watch?v=1ugkcsAcw44) by Phani Reddy
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- [How To Create A Custom Knowledge AI Powered Bot | Install + How To Use](https://www.youtube.com/watch?v=VfCrIiAst-c) by The Ai Solopreneur
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- [Build Custom Chatbot in 6 min with this Framework [Beginner Friendly]](https://www.youtube.com/watch?v=-8HxOpaFySM) by Maya Akim
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- [embedchain-streamlit-app](https://www.youtube.com/watch?v=3-9GVd-3v74) by Amjad Raza
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- [🤖CHAT with ANY ONLINE RESOURCES using EMBEDCHAIN - a LangChain wrapper, in few lines of code !](https://www.youtube.com/watch?v=Mp7zJe4TIdM) by Avra
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- [Building resource-driven LLM-powered bots with Embedchain](https://www.youtube.com/watch?v=IVfcAgxTO4I) by BugBytes
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- [embedchain-streamlit-demo](https://www.youtube.com/watch?v=yJAWB13FhYQ) by Amjad Raza
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- [Embedchain - create your own AI chatbots using open source models](https://www.youtube.com/shorts/O3rJWKwSrWE) by Dhravya Shah
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- [AI ChatBot in 5 lines Python Code](https://www.youtube.com/watch?v=zjWvLJLksv8) by Data Engineering
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- [Interview with Karl Marx](https://www.youtube.com/watch?v=5Y4Tscwj1xk) by Alexander Ray Williams
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- [Vlog where we try to build a bot based on our content on the internet](https://www.youtube.com/watch?v=I2w8CWM3bx4) by DV, ([Tweet](https://twitter.com/dvcoolster/status/1688387017544261632))
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- [CHAT with ANY ONLINE RESOURCES using EMBEDCHAIN|STREAMLIT with MEMORY |All OPENSOURCE](https://www.youtube.com/watch?v=TqQIHWoWTDQ&pp=ygUKZW1iZWRjaGFpbg%3D%3D) by DataInsightEdge
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- [Build POWERFUL LLM Bots EASILY with Your Own Data - Embedchain - Langchain 2.0? (Tutorial)](https://www.youtube.com/watch?v=jE24Y_GasE8) by WorldofAI, ([Tweet](https://twitter.com/intheworldofai/status/1696229166922780737))
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- [Embedchain: An AI knowledge base assistant for customizing enterprise private data, which can be connected to discord, whatsapp, slack, tele and other terminals (with gradio to build a request interface) in Chinese](https://www.youtube.com/watch?v=5RZzCJRk-d0) by AIGC LINK
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- [Embedchain Introduction](https://www.youtube.com/watch?v=Jet9zAqyggI) by Fahd Mirza
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## Mentions
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### Github repos
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- [Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM)
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- [awesome-chatgpt-api](https://github.com/reorx/awesome-chatgpt-api)
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- [awesome-langchain](https://github.com/kyrolabs/awesome-langchain)
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- [Awesome-Prompt-Engineering](https://github.com/promptslab/Awesome-Prompt-Engineering)
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- [awesome-chatgpt](https://github.com/eon01/awesome-chatgpt)
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- [Awesome-LLMOps](https://github.com/tensorchord/Awesome-LLMOps)
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- [awesome-generative-ai](https://github.com/filipecalegario/awesome-generative-ai)
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- [awesome-gpt](https://github.com/formulahendry/awesome-gpt)
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- [awesome-ChatGPT-repositories](https://github.com/taishi-i/awesome-ChatGPT-repositories)
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- [awesome-gpt-prompt-engineering](https://github.com/snwfdhmp/awesome-gpt-prompt-engineering)
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- [awesome-chatgpt](https://github.com/awesome-chatgpt/awesome-chatgpt)
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- [awesome-llm-and-aigc](https://github.com/sjinzh/awesome-llm-and-aigc)
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- [awesome-compbio-chatgpt](https://github.com/csbl-br/awesome-compbio-chatgpt)
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- [Awesome-LLM4Tool](https://github.com/OpenGVLab/Awesome-LLM4Tool)
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## Meetups
|
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- [Dash and ChatGPT: Future of AI-enabled apps 30/08/23](https://go.plotly.com/dash-chatgpt)
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- [Pie & AI: Bangalore - Build end-to-end LLM app using Embedchain 01/09/23](https://www.eventbrite.com/e/pie-ai-bangalore-build-end-to-end-llm-app-using-embedchain-tickets-698045722547)
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@@ -1,5 +1,5 @@
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---
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title: '🌐 Full Stack'
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title: 'Full Stack'
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---
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The Full Stack app example can be found [here](https://github.com/embedchain/embedchain/tree/main/examples/full_stack).
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60
docs/examples/openai-assistant.mdx
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---
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title: 'OpenAI Assistant'
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---
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<img src="https://blogs.swarthmore.edu/its/wp-content/uploads/2022/05/openai.jpg" align="center" width="500" alt="OpenAI Logo"/>
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Embedchain now supports [OpenAI Assistants API](https://platform.openai.com/docs/assistants/overview) which allows you to build AI assistants within your own applications. An Assistant has instructions and can leverage models, tools, and knowledge to respond to user queries.
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At a high level, an integration of the Assistants API has the following flow:
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1. Create an Assistant in the API by defining custom instructions and picking a model
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2. Create a Thread when a user starts a conversation
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3. Add Messages to the Thread as the user ask questions
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4. Run the Assistant on the Thread to trigger responses. This automatically calls the relevant tools.
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Creating an OpenAI Assistant using Embedchain is very simple 3 step process.
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## Step 1: Create OpenAI Assistant
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Make sure that you have `OPENAI_API_KEY` set in the environment variable.
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```python Initialize
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from embedchain.store.assistants import OpenAIAssistant
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assistant = OpenAIAssistant(
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name="OpenAI DevDay Assistant",
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instructions="You are an organizer of OpenAI DevDay",
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)
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```
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If you want to use the existing assistant, you can do something like this:
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```python Initialize
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# Load an assistant and create a new thread
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assistant = OpenAIAssistant(assistant_id="asst_xxx")
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# Load a specific thread for an assistant
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assistant = OpenAIAssistant(assistant_id="asst_xxx", thread_id="thread_xxx")
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```
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## Step-2: Add data to thread
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You can add any custom data source that is supported by Embedchain. Else, you can directly pass the file path on your local system and Embedchain propagates it to OpenAI Assistant.
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```python Add data
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assistant.add("/path/to/file.pdf")
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assistant.add("https://www.youtube.com/watch?v=U9mJuUkhUzk")
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assistant.add("https://openai.com/blog/new-models-and-developer-products-announced-at-devday")
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```
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## Step-3: Chat with your Assistant
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```python Chat
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assistant.chat("How much OpenAI credits were offered to attendees during OpenAI DevDay?")
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# Response: 'Every attendee of OpenAI DevDay 2023 was offered $500 in OpenAI credits.'
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```
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You can try it out yourself using the following Google Colab notebook:
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<a href="https://colab.research.google.com/drive/1BKlXZYSl6AFRgiHZ5XIzXrXC_24kDYHQ?usp=sharing">
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<img src="https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667" alt="Open in Colab" />
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</a>
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51
docs/examples/opensource-assistant.mdx
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---
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title: 'Open-Source AI Assistant'
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---
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|
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Embedchain also provides support for creating Open-Source AI Assistants (similar to [OpenAI Assistants API](https://platform.openai.com/docs/assistants/overview)) which allows you to build AI assistants within your own applications using any LLM (OpenAI or otherwise). An Assistant has instructions and can leverage models, tools, and knowledge to respond to user queries.
|
||||
|
||||
At a high level, the Open-Source AI Assistants API has the following flow:
|
||||
|
||||
1. Create an AI Assistant by picking a model
|
||||
2. Create a Thread when a user starts a conversation
|
||||
3. Add Messages to the Thread as the user ask questions
|
||||
4. Run the Assistant on the Thread to trigger responses. This automatically calls the relevant tools.
|
||||
|
||||
Creating an Open-Source AI Assistant is a simple 3 step process.
|
||||
|
||||
## Step 1: Instantiate AI Assistant
|
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|
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```python Initialize
|
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from embedchain.store.assistants import AIAssistant
|
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|
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assistant = AIAssistant(
|
||||
name="My Assistant",
|
||||
data_sources=[{"source": "https://www.youtube.com/watch?v=U9mJuUkhUzk"}])
|
||||
```
|
||||
|
||||
If you want to use the existing assistant, you can do something like this:
|
||||
|
||||
```python Initialize
|
||||
# Load an assistant and create a new thread
|
||||
assistant = AIAssistant(assistant_id="asst_xxx")
|
||||
|
||||
# Load a specific thread for an assistant
|
||||
assistant = AIAssistant(assistant_id="asst_xxx", thread_id="thread_xxx")
|
||||
```
|
||||
|
||||
## Step-2: Add data to thread
|
||||
|
||||
You can add any custom data source that is supported by Embedchain. Else, you can directly pass the file path on your local system and Embedchain propagates it to OpenAI Assistant.
|
||||
|
||||
```python Add data
|
||||
assistant.add("/path/to/file.pdf")
|
||||
assistant.add("https://www.youtube.com/watch?v=U9mJuUkhUzk")
|
||||
assistant.add("https://openai.com/blog/new-models-and-developer-products-announced-at-devday")
|
||||
```
|
||||
|
||||
## Step-3: Chat with your AI Assistant
|
||||
|
||||
```python Chat
|
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assistant.chat("How much OpenAI credits were offered to attendees during OpenAI DevDay?")
|
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# Response: 'Every attendee of OpenAI DevDay 2023 was offered $500 in OpenAI credits.'
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```
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22
docs/examples/rest-api/add-data.mdx
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22
docs/examples/rest-api/add-data.mdx
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---
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openapi: post /{app_id}/add
|
||||
---
|
||||
|
||||
<RequestExample>
|
||||
|
||||
```bash Request
|
||||
curl --request POST \
|
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--url http://localhost:8080/{app_id}/add \
|
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-d "source=https://www.forbes.com/profile/elon-musk" \
|
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-d "data_type=web_page"
|
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```
|
||||
|
||||
</RequestExample>
|
||||
|
||||
<ResponseExample>
|
||||
|
||||
```json Response
|
||||
{ "response": "fec7fe91e6b2d732938a2ec2e32bfe3f" }
|
||||
```
|
||||
|
||||
</ResponseExample>
|
||||
3
docs/examples/rest-api/chat.mdx
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3
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||||
---
|
||||
openapi: post /{app_id}/chat
|
||||
---
|
||||
20
docs/examples/rest-api/check-status.mdx
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|
||||
---
|
||||
openapi: get /ping
|
||||
---
|
||||
|
||||
<RequestExample>
|
||||
|
||||
```bash Request
|
||||
curl --request GET \
|
||||
--url http://localhost:8080/ping
|
||||
```
|
||||
|
||||
</RequestExample>
|
||||
|
||||
<ResponseExample>
|
||||
|
||||
```json Response
|
||||
{ "ping": "pong" }
|
||||
```
|
||||
|
||||
</ResponseExample>
|
||||
95
docs/examples/rest-api/create.mdx
Normal file
95
docs/examples/rest-api/create.mdx
Normal file
@@ -0,0 +1,95 @@
|
||||
---
|
||||
openapi: post /create
|
||||
---
|
||||
|
||||
<RequestExample>
|
||||
|
||||
```bash Request
|
||||
curl --request POST \
|
||||
--url http://localhost:8080/create?app_id=app1 \
|
||||
-F "config=@/path/to/config.yaml"
|
||||
```
|
||||
|
||||
</RequestExample>
|
||||
|
||||
<ResponseExample>
|
||||
|
||||
```json Response
|
||||
{ "response": "App created successfully. App ID: app1" }
|
||||
```
|
||||
|
||||
</ResponseExample>
|
||||
|
||||
By default we will use the opensource **gpt4all** model to get started. You can also specify your own config by uploading a config YAML file.
|
||||
|
||||
For example, create a `config.yaml` file (adjust according to your requirements):
|
||||
|
||||
```yaml
|
||||
app:
|
||||
config:
|
||||
id: "default-app"
|
||||
|
||||
llm:
|
||||
provider: openai
|
||||
config:
|
||||
model: "gpt-3.5-turbo"
|
||||
temperature: 0.5
|
||||
max_tokens: 1000
|
||||
top_p: 1
|
||||
stream: false
|
||||
template: |
|
||||
Use the following pieces of context to answer the query at the end.
|
||||
If you don't know the answer, just say that you don't know, don't try to make up an answer.
|
||||
|
||||
$context
|
||||
|
||||
Query: $query
|
||||
|
||||
Helpful Answer:
|
||||
|
||||
vectordb:
|
||||
provider: chroma
|
||||
config:
|
||||
collection_name: "rest-api-app"
|
||||
dir: db
|
||||
allow_reset: true
|
||||
|
||||
embedder:
|
||||
provider: openai
|
||||
config:
|
||||
model: "text-embedding-ada-002"
|
||||
```
|
||||
|
||||
To learn more about custom configurations, check out the [custom configurations docs](https://docs.embedchain.ai/advanced/configuration). To explore more examples of config yamls for embedchain, visit [embedchain/configs](https://github.com/embedchain/embedchain/tree/main/configs).
|
||||
|
||||
Now, you can upload this config file in the request body.
|
||||
|
||||
For example,
|
||||
|
||||
```bash Request
|
||||
curl --request POST \
|
||||
--url http://localhost:8080/create?app_id=my-app \
|
||||
-F "config=@/path/to/config.yaml"
|
||||
```
|
||||
|
||||
**Note:** To use custom models, an **API key** might be required. Refer to the table below to determine the necessary API key for your provider.
|
||||
|
||||
| Keys | Providers |
|
||||
| -------------------------- | ------------------------------ |
|
||||
| `OPENAI_API_KEY ` | OpenAI, Azure OpenAI, Jina etc |
|
||||
| `OPENAI_API_TYPE` | Azure OpenAI |
|
||||
| `OPENAI_API_BASE` | Azure OpenAI |
|
||||
| `OPENAI_API_VERSION` | Azure OpenAI |
|
||||
| `COHERE_API_KEY` | Cohere |
|
||||
| `ANTHROPIC_API_KEY` | Anthropic |
|
||||
| `JINACHAT_API_KEY` | Jina |
|
||||
| `HUGGINGFACE_ACCESS_TOKEN` | Huggingface |
|
||||
| `REPLICATE_API_TOKEN` | LLAMA2 |
|
||||
|
||||
To add env variables, you can simply run the docker command with the `-e` flag.
|
||||
|
||||
For example,
|
||||
|
||||
```bash
|
||||
docker run --name embedchain -p 8080:8080 -e OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> embedchain/rest-api:latest
|
||||
```
|
||||
21
docs/examples/rest-api/delete.mdx
Normal file
21
docs/examples/rest-api/delete.mdx
Normal file
@@ -0,0 +1,21 @@
|
||||
---
|
||||
openapi: delete /{app_id}/delete
|
||||
---
|
||||
|
||||
|
||||
<RequestExample>
|
||||
|
||||
```bash Request
|
||||
curl --request DELETE \
|
||||
--url http://localhost:8080/{app_id}/delete
|
||||
```
|
||||
|
||||
</RequestExample>
|
||||
|
||||
<ResponseExample>
|
||||
|
||||
```json Response
|
||||
{ "response": "App with id {app_id} deleted successfully." }
|
||||
```
|
||||
|
||||
</ResponseExample>
|
||||
22
docs/examples/rest-api/deploy.mdx
Normal file
22
docs/examples/rest-api/deploy.mdx
Normal file
@@ -0,0 +1,22 @@
|
||||
---
|
||||
openapi: post /{app_id}/deploy
|
||||
---
|
||||
|
||||
|
||||
<RequestExample>
|
||||
|
||||
```bash Request
|
||||
curl --request POST \
|
||||
--url http://localhost:8080/{app_id}/deploy \
|
||||
-d "api_key=ec-xxxx"
|
||||
```
|
||||
|
||||
</RequestExample>
|
||||
|
||||
<ResponseExample>
|
||||
|
||||
```json Response
|
||||
{ "response": "App deployed successfully." }
|
||||
```
|
||||
|
||||
</ResponseExample>
|
||||
33
docs/examples/rest-api/get-all-apps.mdx
Normal file
33
docs/examples/rest-api/get-all-apps.mdx
Normal file
@@ -0,0 +1,33 @@
|
||||
---
|
||||
openapi: get /apps
|
||||
---
|
||||
|
||||
<RequestExample>
|
||||
|
||||
```bash Request
|
||||
curl --request GET \
|
||||
--url http://localhost:8080/apps
|
||||
```
|
||||
|
||||
</RequestExample>
|
||||
|
||||
<ResponseExample>
|
||||
|
||||
```json Response
|
||||
{
|
||||
"results": [
|
||||
{
|
||||
"config": "config1.yaml",
|
||||
"id": 1,
|
||||
"app_id": "app1"
|
||||
},
|
||||
{
|
||||
"config": "config2.yaml",
|
||||
"id": 2,
|
||||
"app_id": "app2"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
</ResponseExample>
|
||||
28
docs/examples/rest-api/get-data.mdx
Normal file
28
docs/examples/rest-api/get-data.mdx
Normal file
@@ -0,0 +1,28 @@
|
||||
---
|
||||
openapi: get /{app_id}/data
|
||||
---
|
||||
|
||||
<RequestExample>
|
||||
|
||||
```bash Request
|
||||
curl --request GET \
|
||||
--url http://localhost:8080/{app_id}/data
|
||||
```
|
||||
|
||||
</RequestExample>
|
||||
|
||||
<ResponseExample>
|
||||
|
||||
```json Response
|
||||
{
|
||||
"results": [
|
||||
{
|
||||
"data_type": "web_page",
|
||||
"data_value": "https://www.forbes.com/profile/elon-musk/",
|
||||
"metadata": "null"
|
||||
}
|
||||
]
|
||||
}
|
||||
```
|
||||
|
||||
</ResponseExample>
|
||||
294
docs/examples/rest-api/getting-started.mdx
Normal file
294
docs/examples/rest-api/getting-started.mdx
Normal file
@@ -0,0 +1,294 @@
|
||||
---
|
||||
title: "🌍 Getting Started"
|
||||
---
|
||||
|
||||
## Quickstart
|
||||
|
||||
To use Embedchain as a REST API service, run the following command:
|
||||
|
||||
```bash
|
||||
docker run --name embedchain -p 8080:8080 embedchain/rest-api:latest
|
||||
```
|
||||
|
||||
Navigate to [http://localhost:8080/docs](http://localhost:8080/docs) to interact with the API. There is a full-fledged Swagger docs playground with all the information about the API endpoints.
|
||||
|
||||
|
||||
|
||||
## ⚡ Steps to get started
|
||||
|
||||
<Steps>
|
||||
<Step title="⚙️ Create an app">
|
||||
<Tabs>
|
||||
<Tab title="cURL">
|
||||
```bash
|
||||
curl --request POST "http://localhost:8080/create?app_id=my-app" \
|
||||
-H "accept: application/json"
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="python">
|
||||
```python
|
||||
import requests
|
||||
|
||||
url = "http://localhost:8080/create?app_id=my-app"
|
||||
|
||||
payload={}
|
||||
|
||||
response = requests.request("POST", url, data=payload)
|
||||
|
||||
print(response)
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="javascript">
|
||||
```javascript
|
||||
const data = fetch("http://localhost:8080/create?app_id=my-app", {
|
||||
method: "POST",
|
||||
}).then((res) => res.json());
|
||||
|
||||
console.log(data);
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="go">
|
||||
```go
|
||||
package main
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"net/http"
|
||||
"io/ioutil"
|
||||
)
|
||||
|
||||
func main() {
|
||||
|
||||
url := "http://localhost:8080/create?app_id=my-app"
|
||||
|
||||
payload := strings.NewReader("")
|
||||
|
||||
req, _ := http.NewRequest("POST", url, payload)
|
||||
|
||||
req.Header.Add("Content-Type", "application/json")
|
||||
|
||||
res, _ := http.DefaultClient.Do(req)
|
||||
|
||||
defer res.Body.Close()
|
||||
body, _ := ioutil.ReadAll(res.Body)
|
||||
|
||||
fmt.Println(res)
|
||||
fmt.Println(string(body))
|
||||
|
||||
}
|
||||
```
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
</Step>
|
||||
<Step title="🗃️ Add data sources">
|
||||
<Tabs>
|
||||
<Tab title="cURL">
|
||||
```bash
|
||||
curl --request POST \
|
||||
--url http://localhost:8080/my-app/add \
|
||||
-d "source=https://www.forbes.com/profile/elon-musk" \
|
||||
-d "data_type=web_page"
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="python">
|
||||
```python
|
||||
import requests
|
||||
|
||||
url = "http://localhost:8080/my-app/add"
|
||||
|
||||
payload = "source=https://www.forbes.com/profile/elon-musk&data_type=web_page"
|
||||
headers = {}
|
||||
|
||||
response = requests.request("POST", url, headers=headers, data=payload)
|
||||
|
||||
print(response)
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="javascript">
|
||||
```javascript
|
||||
const data = fetch("http://localhost:8080/my-app/add", {
|
||||
method: "POST",
|
||||
body: "source=https://www.forbes.com/profile/elon-musk&data_type=web_page",
|
||||
}).then((res) => res.json());
|
||||
|
||||
console.log(data);
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="go">
|
||||
```go
|
||||
package main
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"strings"
|
||||
"net/http"
|
||||
"io/ioutil"
|
||||
)
|
||||
|
||||
func main() {
|
||||
|
||||
url := "http://localhost:8080/my-app/add"
|
||||
|
||||
payload := strings.NewReader("source=https://www.forbes.com/profile/elon-musk&data_type=web_page")
|
||||
|
||||
req, _ := http.NewRequest("POST", url, payload)
|
||||
|
||||
req.Header.Add("Content-Type", "application/x-www-form-urlencoded")
|
||||
|
||||
res, _ := http.DefaultClient.Do(req)
|
||||
|
||||
defer res.Body.Close()
|
||||
body, _ := ioutil.ReadAll(res.Body)
|
||||
|
||||
fmt.Println(res)
|
||||
fmt.Println(string(body))
|
||||
|
||||
}
|
||||
```
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
</Step>
|
||||
<Step title="💬 Query on your data">
|
||||
<Tabs>
|
||||
<Tab title="cURL">
|
||||
```bash
|
||||
curl --request POST \
|
||||
--url http://localhost:8080/my-app/query \
|
||||
-d "query=Who is Elon Musk?"
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="python">
|
||||
```python
|
||||
import requests
|
||||
|
||||
url = "http://localhost:8080/my-app/query"
|
||||
|
||||
payload = "query=Who is Elon Musk?"
|
||||
headers = {}
|
||||
|
||||
response = requests.request("POST", url, headers=headers, data=payload)
|
||||
|
||||
print(response)
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="javascript">
|
||||
```javascript
|
||||
const data = fetch("http://localhost:8080/my-app/query", {
|
||||
method: "POST",
|
||||
body: "query=Who is Elon Musk?",
|
||||
}).then((res) => res.json());
|
||||
|
||||
console.log(data);
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="go">
|
||||
```go
|
||||
package main
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"strings"
|
||||
"net/http"
|
||||
"io/ioutil"
|
||||
)
|
||||
|
||||
func main() {
|
||||
|
||||
url := "http://localhost:8080/my-app/query"
|
||||
|
||||
payload := strings.NewReader("query=Who is Elon Musk?")
|
||||
|
||||
req, _ := http.NewRequest("POST", url, payload)
|
||||
|
||||
req.Header.Add("Content-Type", "application/x-www-form-urlencoded")
|
||||
|
||||
res, _ := http.DefaultClient.Do(req)
|
||||
|
||||
defer res.Body.Close()
|
||||
body, _ := ioutil.ReadAll(res.Body)
|
||||
|
||||
fmt.Println(res)
|
||||
fmt.Println(string(body))
|
||||
|
||||
}
|
||||
```
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
</Step>
|
||||
<Step title="🚀 (Optional) Deploy your app to Embedchain Platform">
|
||||
<Tabs>
|
||||
<Tab title="cURL">
|
||||
```bash
|
||||
curl --request POST \
|
||||
--url http://localhost:8080/my-app/deploy \
|
||||
-d "api_key=ec-xxxx"
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="python">
|
||||
```python
|
||||
import requests
|
||||
|
||||
url = "http://localhost:8080/my-app/deploy"
|
||||
|
||||
payload = "api_key=ec-xxxx"
|
||||
|
||||
response = requests.request("POST", url, data=payload)
|
||||
|
||||
print(response)
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="javascript">
|
||||
```javascript
|
||||
const data = fetch("http://localhost:8080/my-app/deploy", {
|
||||
method: "POST",
|
||||
body: "api_key=ec-xxxx",
|
||||
}).then((res) => res.json());
|
||||
|
||||
console.log(data);
|
||||
```
|
||||
</Tab>
|
||||
<Tab title="go">
|
||||
```go
|
||||
package main
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"strings"
|
||||
"net/http"
|
||||
"io/ioutil"
|
||||
)
|
||||
|
||||
func main() {
|
||||
|
||||
url := "http://localhost:8080/my-app/deploy"
|
||||
|
||||
payload := strings.NewReader("api_key=ec-xxxx")
|
||||
|
||||
req, _ := http.NewRequest("POST", url, payload)
|
||||
|
||||
req.Header.Add("Content-Type", "application/x-www-form-urlencoded")
|
||||
|
||||
res, _ := http.DefaultClient.Do(req)
|
||||
|
||||
defer res.Body.Close()
|
||||
body, _ := ioutil.ReadAll(res.Body)
|
||||
|
||||
fmt.Println(res)
|
||||
fmt.Println(string(body))
|
||||
|
||||
}
|
||||
```
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
</Step>
|
||||
</Steps>
|
||||
|
||||
And you're ready! 🎉
|
||||
|
||||
If you run into issues, please feel free to contact us using below links:
|
||||
|
||||
<Snippet file="get-help.mdx" />
|
||||
21
docs/examples/rest-api/query.mdx
Normal file
21
docs/examples/rest-api/query.mdx
Normal file
@@ -0,0 +1,21 @@
|
||||
---
|
||||
openapi: post /{app_id}/query
|
||||
---
|
||||
|
||||
<RequestExample>
|
||||
|
||||
```bash Request
|
||||
curl --request POST \
|
||||
--url http://localhost:8080/{app_id}/query \
|
||||
-d "query=who is Elon Musk?"
|
||||
```
|
||||
|
||||
</RequestExample>
|
||||
|
||||
<ResponseExample>
|
||||
|
||||
```json Response
|
||||
{ "response": "Net worth of Elon Musk is $218 Billion." }
|
||||
```
|
||||
|
||||
</ResponseExample>
|
||||
115
docs/examples/showcase.mdx
Normal file
115
docs/examples/showcase.mdx
Normal file
@@ -0,0 +1,115 @@
|
||||
---
|
||||
title: '🎪 Community showcase'
|
||||
---
|
||||
|
||||
Embedchain community has been super active in creating demos on top of Embedchain. On this page, we showcase all the apps, blogs, videos, and tutorials created by the community. ❤️
|
||||
|
||||
## Apps
|
||||
|
||||
### Open Source
|
||||
|
||||
- [My GSoC23 bot- Streamlit chat](https://github.com/lucifertrj/EmbedChain_GSoC23_BOT) by Tarun Jain
|
||||
- [Discord Bot for LLM chat](https://github.com/Reidond/discord_bots_playground/tree/c8b0c36541e4b393782ee506804c4b6962426dd6/python/chat-channel-bot) by Reidond
|
||||
- [EmbedChain-Streamlit-Docker App](https://github.com/amjadraza/embedchain-streamlit-app) by amjadraza
|
||||
- [Harry Potter Philosphers Stone Bot](https://github.com/vinayak-kempawad/Harry_Potter_Philosphers_Stone_Bot/) by Vinayak Kempawad, ([LinkedIn post](https://www.linkedin.com/feed/update/urn:li:activity:7080907532155686912/))
|
||||
- [LLM bot trained on own messages](https://github.com/Harin329/harinBot) by Hao Wu
|
||||
|
||||
### Closed Source
|
||||
|
||||
- [Taobot.io](https://taobot.io) - chatbot & knowledgebase hybrid by [cachho](https://github.com/cachho)
|
||||
- [Create Instant ChatBot 🤖 using embedchain](https://databutton.com/v/h3e680h9) by Avra, ([Tweet](https://twitter.com/Avra_b/status/1674704745154641920/))
|
||||
- [JOBO 🤖 — The AI-driven sidekick to craft your resume](https://try-jobo.com/) by Enrico Willemse, ([LinkedIn Post](https://www.linkedin.com/posts/enrico-willemse_jobai-gptfun-embedchain-activity-7090340080879374336-ueLB/))
|
||||
- [Explore Your Knowledge Base: Interactive chats over various forms of documents](https://chatdocs.dkedar.com/) by Kedar Dabhadkar, ([LinkedIn Post](https://www.linkedin.com/posts/dkedar7_machinelearning-llmops-activity-7092524836639424513-2O3L/))
|
||||
- [Chatbot trained on 1000+ videos of Ester hicks the co-author behind the famous book Secret](https://ask-abraham.thoughtseed.repl.co) by Mohan Kumar
|
||||
|
||||
|
||||
## Templates
|
||||
|
||||
### Replit
|
||||
- [Embedchain Chat Bot](https://replit.com/@taranjeet1/Embedchain-Chat-Bot) by taranjeetio
|
||||
- [Embedchain Memory Chat Bot Template](https://replit.com/@taranjeetio/Embedchain-Memory-Chat-Bot-Template) by taranjeetio
|
||||
- [Chatbot app to demonstrate question-answering using retrieved information](https://replit.com/@AllisonMorrell/EmbedChainlitPublic) by Allison Morrell, ([LinkedIn Post](https://www.linkedin.com/posts/allison-morrell-2889275a_retrievalbot-screenshots-activity-7080339991754649600-wihZ/))
|
||||
|
||||
## Posts
|
||||
|
||||
### Blogs
|
||||
|
||||
- [Customer Service LINE Bot](https://www.evanlin.com/langchain-embedchain/) by Evan Lin
|
||||
- [Chatbot in Under 5 mins using Embedchain](https://medium.com/@ayush.wattal/chatbot-in-under-5-mins-using-embedchain-a4f161fcf9c5) by Ayush Wattal
|
||||
- [Understanding what the LLM framework embedchain does](https://zenn.dev/hijikix/articles/4bc8d60156a436) by Daisuke Hashimoto
|
||||
- [In bed with GPT and Node.js](https://dev.to/worldlinetech/in-bed-with-gpt-and-nodejs-4kh2) by Raphaël Semeteys, ([LinkedIn Post](https://www.linkedin.com/posts/raphaelsemeteys_in-bed-with-gpt-and-nodejs-activity-7088113552326029313-nn87/))
|
||||
- [Using Embedchain — A powerful LangChain Python wrapper to build Chat Bots even faster!⚡](https://medium.com/@avra42/using-embedchain-a-powerful-langchain-python-wrapper-to-build-chat-bots-even-faster-35c12994a360) by Avra, ([Tweet](https://twitter.com/Avra_b/status/1686767751560310784/))
|
||||
- [What is the Embedchain library?](https://jahaniwww.com/%da%a9%d8%aa%d8%a7%d8%a8%d8%ae%d8%a7%d9%86%d9%87-embedchain/) by Ali Jahani, ([LinkedIn Post](https://www.linkedin.com/posts/ajahani_aepaetaeqaexaggahyaeu-aetaexaesabraeaaeqaepaeu-activity-7097605202135904256-ppU-/))
|
||||
- [LangChain is Nice, But Have You Tried EmbedChain ?](https://medium.com/thoughts-on-machine-learning/langchain-is-nice-but-have-you-tried-embedchain-215a34421cde) by FS Ndzomga, ([Tweet](https://twitter.com/ndzfs/status/1695583640372035951/))
|
||||
- [Simplest Method to Build a Custom Chatbot with GPT-3.5 (via Embedchain)](https://www.ainewsletter.today/p/simplest-method-to-build-a-custom) by Arjun, ([Tweet](https://twitter.com/aiguy_arjun/status/1696393808467091758/))
|
||||
|
||||
### LinkedIn
|
||||
|
||||
- [What is embedchain](https://www.linkedin.com/posts/activity-7079393104423698432-wRyi/) by Rithesh Sreenivasan
|
||||
- [Building a chatbot with EmbedChain](https://www.linkedin.com/posts/activity-7078434598984060928-Zdso/) by Lior Sinclair
|
||||
- [Making chatbot without vs with embedchain](https://www.linkedin.com/posts/kalyanksnlp_llms-chatbots-langchain-activity-7077453416221863936-7N1L/) by Kalyan KS
|
||||
- [EmbedChain - very intuitive, first you index your data and then query!](https://www.linkedin.com/posts/shubhamsaboo_embedchain-a-framework-to-easily-create-activity-7079535460699557888-ad1X/) by Shubham Saboo
|
||||
- [EmbedChain - Harnessing power of LLM](https://www.linkedin.com/posts/uditsaini_chatbotrevolution-llmpoweredbots-embedchainframework-activity-7077520356827181056-FjTK/) by Udit S.
|
||||
- [AI assistant for ABBYY Vantage](https://www.linkedin.com/posts/maximevermeir_llm-github-abbyy-activity-7081658972071424000-fXfZ/) by Maxime V.
|
||||
- [About embedchain](https://www.linkedin.com/feed/update/urn:li:activity:7080984218914189312/) by Morris Lee
|
||||
- [How to use Embedchain](https://www.linkedin.com/posts/nehaabansal_github-embedchainembedchain-framework-activity-7085830340136595456-kbW5/) by Neha Bansal
|
||||
- [Youtube/Webpage summary for Energy Study](https://www.linkedin.com/posts/bar%C4%B1%C5%9F-sanl%C4%B1-34b82715_enerji-python-activity-7082735341563977730-Js0U/) by Barış Sanlı, ([Tweet](https://twitter.com/barissanli/status/1676968784979193857/))
|
||||
- [Demo: How to use Embedchain? (Contains Collab Notebook link)](https://www.linkedin.com/posts/liorsinclair_embedchain-is-getting-a-lot-of-traction-because-activity-7103044695995424768-RckT/) by Lior Sinclair
|
||||
|
||||
### Twitter
|
||||
|
||||
- [What is embedchain](https://twitter.com/AlphaSignalAI/status/1672668574450847745) by Lior
|
||||
- [Building a chatbot with Embedchain](https://twitter.com/Saboo_Shubham_/status/1673537044419686401) by Shubham Saboo
|
||||
- [Chatbot docker image behind an API with yaml configs with Embedchain](https://twitter.com/tricalt/status/1678411430192730113/) by Vasilije
|
||||
- [Build AI powered PDF chatbot with just five lines of Python code with Embedchain!](https://twitter.com/Saboo_Shubham_/status/1676627104866156544/) by Shubham Saboo
|
||||
- [Chatbot against a youtube video using embedchain](https://twitter.com/smaameri/status/1675201443043704834/) by Sami Maameri
|
||||
- [Highlights of EmbedChain](https://twitter.com/carl_AIwarts/status/1673542204328120321/) by carl_AIwarts
|
||||
- [Build Llama-2 chatbot in less than 5 minutes](https://twitter.com/Saboo_Shubham_/status/1682168956918833152/) by Shubham Saboo
|
||||
- [All cool features of embedchain](https://twitter.com/DhravyaShah/status/1683497882438217728/) by Dhravya Shah, ([LinkedIn Post](https://www.linkedin.com/posts/dhravyashah_what-if-i-tell-you-that-you-can-make-an-ai-activity-7089459599287726080-ZIYm/))
|
||||
- [Read paid Medium articles for Free using embedchain](https://twitter.com/kumarkaushal_/status/1688952961622585344) by Kaushal Kumar
|
||||
|
||||
## Videos
|
||||
|
||||
- [Embedchain in one shot](https://www.youtube.com/watch?v=vIhDh7H73Ww&t=82s) by AI with Tarun
|
||||
- [embedChain Create LLM powered bots over any dataset Python Demo Tesla Neurallink Chatbot Example](https://www.youtube.com/watch?v=bJqAn22a6Gc) by Rithesh Sreenivasan
|
||||
- [Embedchain - NEW 🔥 Langchain BABY to build LLM Bots](https://www.youtube.com/watch?v=qj_GNQ06I8o) by 1littlecoder
|
||||
- [EmbedChain -- NEW!: Build LLM-Powered Bots with Any Dataset](https://www.youtube.com/watch?v=XmaBezzGHu4) by DataInsightEdge
|
||||
- [Chat With Your PDFs in less than 10 lines of code! EMBEDCHAIN tutorial](https://www.youtube.com/watch?v=1ugkcsAcw44) by Phani Reddy
|
||||
- [How To Create A Custom Knowledge AI Powered Bot | Install + How To Use](https://www.youtube.com/watch?v=VfCrIiAst-c) by The Ai Solopreneur
|
||||
- [Build Custom Chatbot in 6 min with this Framework [Beginner Friendly]](https://www.youtube.com/watch?v=-8HxOpaFySM) by Maya Akim
|
||||
- [embedchain-streamlit-app](https://www.youtube.com/watch?v=3-9GVd-3v74) by Amjad Raza
|
||||
- [🤖CHAT with ANY ONLINE RESOURCES using EMBEDCHAIN - a LangChain wrapper, in few lines of code !](https://www.youtube.com/watch?v=Mp7zJe4TIdM) by Avra
|
||||
- [Building resource-driven LLM-powered bots with Embedchain](https://www.youtube.com/watch?v=IVfcAgxTO4I) by BugBytes
|
||||
- [embedchain-streamlit-demo](https://www.youtube.com/watch?v=yJAWB13FhYQ) by Amjad Raza
|
||||
- [Embedchain - create your own AI chatbots using open source models](https://www.youtube.com/shorts/O3rJWKwSrWE) by Dhravya Shah
|
||||
- [AI ChatBot in 5 lines Python Code](https://www.youtube.com/watch?v=zjWvLJLksv8) by Data Engineering
|
||||
- [Interview with Karl Marx](https://www.youtube.com/watch?v=5Y4Tscwj1xk) by Alexander Ray Williams
|
||||
- [Vlog where we try to build a bot based on our content on the internet](https://www.youtube.com/watch?v=I2w8CWM3bx4) by DV, ([Tweet](https://twitter.com/dvcoolster/status/1688387017544261632))
|
||||
- [CHAT with ANY ONLINE RESOURCES using EMBEDCHAIN|STREAMLIT with MEMORY |All OPENSOURCE](https://www.youtube.com/watch?v=TqQIHWoWTDQ&pp=ygUKZW1iZWRjaGFpbg%3D%3D) by DataInsightEdge
|
||||
- [Build POWERFUL LLM Bots EASILY with Your Own Data - Embedchain - Langchain 2.0? (Tutorial)](https://www.youtube.com/watch?v=jE24Y_GasE8) by WorldofAI, ([Tweet](https://twitter.com/intheworldofai/status/1696229166922780737))
|
||||
- [Embedchain: An AI knowledge base assistant for customizing enterprise private data, which can be connected to discord, whatsapp, slack, tele and other terminals (with gradio to build a request interface) in Chinese](https://www.youtube.com/watch?v=5RZzCJRk-d0) by AIGC LINK
|
||||
- [Embedchain Introduction](https://www.youtube.com/watch?v=Jet9zAqyggI) by Fahd Mirza
|
||||
|
||||
## Mentions
|
||||
|
||||
### Github repos
|
||||
|
||||
- [Awesome-LLM](https://github.com/Hannibal046/Awesome-LLM)
|
||||
- [awesome-chatgpt-api](https://github.com/reorx/awesome-chatgpt-api)
|
||||
- [awesome-langchain](https://github.com/kyrolabs/awesome-langchain)
|
||||
- [Awesome-Prompt-Engineering](https://github.com/promptslab/Awesome-Prompt-Engineering)
|
||||
- [awesome-chatgpt](https://github.com/eon01/awesome-chatgpt)
|
||||
- [Awesome-LLMOps](https://github.com/tensorchord/Awesome-LLMOps)
|
||||
- [awesome-generative-ai](https://github.com/filipecalegario/awesome-generative-ai)
|
||||
- [awesome-gpt](https://github.com/formulahendry/awesome-gpt)
|
||||
- [awesome-ChatGPT-repositories](https://github.com/taishi-i/awesome-ChatGPT-repositories)
|
||||
- [awesome-gpt-prompt-engineering](https://github.com/snwfdhmp/awesome-gpt-prompt-engineering)
|
||||
- [awesome-chatgpt](https://github.com/awesome-chatgpt/awesome-chatgpt)
|
||||
- [awesome-llm-and-aigc](https://github.com/sjinzh/awesome-llm-and-aigc)
|
||||
- [awesome-compbio-chatgpt](https://github.com/csbl-br/awesome-compbio-chatgpt)
|
||||
- [Awesome-LLM4Tool](https://github.com/OpenGVLab/Awesome-LLM4Tool)
|
||||
|
||||
## Meetups
|
||||
|
||||
- [Dash and ChatGPT: Future of AI-enabled apps 30/08/23](https://go.plotly.com/dash-chatgpt)
|
||||
- [Pie & AI: Bangalore - Build end-to-end LLM app using Embedchain 01/09/23](https://www.eventbrite.com/e/pie-ai-bangalore-build-end-to-end-llm-app-using-embedchain-tickets-698045722547)
|
||||
Reference in New Issue
Block a user