[Docs] Revamp documentation (#1010)
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@@ -228,15 +228,6 @@ embedchain is a framework which takes care of all these nuances and provides a s
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In the first release, we are making it easier for anyone to get a chatbot over any dataset up and running in less than a minute. All you need to do is create an app instance, add the data sets using `.add` function and then use `.query` function to get the relevant answer.
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# Tech Stack
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embedchain is built on the following stack:
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- [Langchain](https://github.com/hwchase17/langchain) as an LLM framework to load, chunk and index data
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- [OpenAI's Ada embedding model](https://platform.openai.com/docs/guides/embeddings) to create embeddings
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- [OpenAI's ChatGPT API](https://platform.openai.com/docs/guides/gpt/chat-completions-api) as LLM to get answers given the context
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- [Chroma](https://github.com/chroma-core/chroma) as the vector database to store embeddings
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# Team
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## Author
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