From 3b4409cfad17f503046d6b690a5c5dc980aa078a Mon Sep 17 00:00:00 2001 From: Sidharth Mohanty Date: Mon, 30 Oct 2023 11:36:43 +0530 Subject: [PATCH] Update notebooks to work with the latest version (#870) --- notebooks/anthropic.ipynb | 11 +- notebooks/azure-openai.ipynb | 12 +- notebooks/chromadb.ipynb | 165 ++++++++--------- notebooks/cohere.ipynb | 11 +- notebooks/elasticsearch.ipynb | 175 ++++++++++--------- notebooks/embedchain-chromadb-server.ipynb | 2 +- notebooks/embedchain-docs-site-example.ipynb | 2 +- notebooks/gpt4all.ipynb | 11 +- notebooks/hugging_face_hub.ipynb | 11 +- notebooks/jina.ipynb | 11 +- notebooks/llama2.ipynb | 11 +- notebooks/openai.ipynb | 11 +- notebooks/opensearch.ipynb | 175 ++++++++++--------- notebooks/pinecone.ipynb | 11 +- notebooks/vertex_ai.ipynb | 11 +- 15 files changed, 374 insertions(+), 256 deletions(-) diff --git a/notebooks/anthropic.ipynb b/notebooks/anthropic.ipynb index 47ff6cb7..23f97902 100644 --- a/notebooks/anthropic.ipynb +++ b/notebooks/anthropic.ipynb @@ -34,6 +34,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -54,7 +63,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"\n", "os.environ[\"ANTHROPIC_API_KEY\"] = \"xxx\"" diff --git a/notebooks/azure-openai.ipynb b/notebooks/azure-openai.ipynb index 85f6a6ed..ad5c8aad 100644 --- a/notebooks/azure-openai.ipynb +++ b/notebooks/azure-openai.ipynb @@ -26,6 +26,16 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "692ff37b", + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "id": "ac982a56", @@ -44,7 +54,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"OPENAI_API_TYPE\"] = \"azure\"\n", "os.environ[\"OPENAI_API_BASE\"] = \"https://xxx.openai.azure.com/\"\n", diff --git a/notebooks/chromadb.ipynb b/notebooks/chromadb.ipynb index 16e189b7..61f8e122 100644 --- a/notebooks/chromadb.ipynb +++ b/notebooks/chromadb.ipynb @@ -1,84 +1,84 @@ { - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, "cells": [ { "cell_type": "markdown", - "source": [ - "## Cookbook for using ChromaDB with Embedchain" - ], "metadata": { "id": "b02n_zJ_hl3d" - } + }, + "source": [ + "## Cookbook for using ChromaDB with Embedchain" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-1: Install embedchain package" - ], "metadata": { "id": "gyJ6ui2vhtMY" - } + }, + "source": [ + "### Step-1: Install embedchain package" + ] }, { "cell_type": "code", - "source": [ - "!pip install embedchain" - ], + "execution_count": null, "metadata": { "id": "-NbXjAdlh0vJ" }, + "outputs": [], + "source": [ + "!pip install embedchain" + ] + }, + { + "cell_type": "code", "execution_count": null, - "outputs": [] + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] }, { "cell_type": "markdown", + "metadata": { + "id": "nGnpSYAAh2bQ" + }, "source": [ "### Step-2: Set OpenAI environment variables\n", "\n", "You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys)." - ], - "metadata": { - "id": "nGnpSYAAh2bQ" - } + ] }, { "cell_type": "code", - "source": [ - "import os\n", - "from embedchain import App\n", - "\n", - "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"" - ], + "execution_count": null, "metadata": { "id": "0fBdQ9GAiRvK" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "import os\n", + "from embedchain import Pipeline as App\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-3: Define your Vector Database config" - ], "metadata": { "id": "Ns6RhPfbiitr" - } + }, + "source": [ + "### Step-3: Define your Vector Database config" + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "S9CkxVjriotB" + }, + "outputs": [], "source": [ "config = \"\"\"\n", "vectordb:\n", @@ -95,64 +95,64 @@ "# Write the multi-line string to a YAML file\n", "with open('chromadb.yaml', 'w') as file:\n", " file.write(config)" - ], - "metadata": { - "id": "S9CkxVjriotB" - }, - "execution_count": null, - "outputs": [] + ] }, { "cell_type": "markdown", - "source": [ - "### Step-4 Create embedchain app based on the config" - ], "metadata": { "id": "PGt6uPLIi1CS" - } + }, + "source": [ + "### Step-4 Create embedchain app based on the config" + ] }, { "cell_type": "code", - "source": [ - "app = App.from_config(yaml_path=\"chromadb.yaml\")" - ], + "execution_count": null, "metadata": { "id": "Amzxk3m-i3tD" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "app = App.from_config(yaml_path=\"chromadb.yaml\")" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-5: Add data sources to your app" - ], "metadata": { "id": "XNXv4yZwi7ef" - } + }, + "source": [ + "### Step-5: Add data sources to your app" + ] }, { "cell_type": "code", - "source": [ - "app.add(\"https://www.forbes.com/profile/elon-musk\")" - ], + "execution_count": null, "metadata": { "id": "Sn_0rx9QjIY9" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "app.add(\"https://www.forbes.com/profile/elon-musk\")" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-6: All set. Now start asking questions related to your data" - ], "metadata": { "id": "_7W6fDeAjMAP" - } + }, + "source": [ + "### Step-6: All set. Now start asking questions related to your data" + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "cvIK7dWRjN_f" + }, + "outputs": [], "source": [ "while(True):\n", " question = input(\"Enter question: \")\n", @@ -160,12 +160,21 @@ " break\n", " answer = app.query(question)\n", " print(answer)" - ], - "metadata": { - "id": "cvIK7dWRjN_f" - }, - "execution_count": null, - "outputs": [] + ] } - ] -} \ No newline at end of file + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/cohere.ipynb b/notebooks/cohere.ipynb index 3831b80f..40b78e72 100644 --- a/notebooks/cohere.ipynb +++ b/notebooks/cohere.ipynb @@ -33,6 +33,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -69,7 +78,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"\n", "os.environ[\"COHERE_API_KEY\"] = \"xxx\"" diff --git a/notebooks/elasticsearch.ipynb b/notebooks/elasticsearch.ipynb index 4bb69ad1..454388d4 100644 --- a/notebooks/elasticsearch.ipynb +++ b/notebooks/elasticsearch.ipynb @@ -1,95 +1,95 @@ { - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, "cells": [ { "cell_type": "markdown", - "source": [ - "## Cookbook for using ElasticSearchDB with Embedchain" - ], "metadata": { "id": "b02n_zJ_hl3d" - } + }, + "source": [ + "## Cookbook for using ElasticSearchDB with Embedchain" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-1: Install embedchain package" - ], "metadata": { "id": "gyJ6ui2vhtMY" - } + }, + "source": [ + "### Step-1: Install embedchain package" + ] }, { "cell_type": "code", - "source": [ - "!pip install embedchain" - ], + "execution_count": null, "metadata": { "id": "-NbXjAdlh0vJ" }, + "outputs": [], + "source": [ + "!pip install embedchain" + ] + }, + { + "cell_type": "code", "execution_count": null, - "outputs": [] + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] }, { "cell_type": "markdown", + "metadata": { + "id": "nGnpSYAAh2bQ" + }, "source": [ "### Step-2: Set OpenAI environment variables and install the dependencies.\n", "\n", "You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys). Now lets install the dependencies needed for Elasticsearch." - ], - "metadata": { - "id": "nGnpSYAAh2bQ" - } + ] }, { "cell_type": "code", - "source": [ - "!pip install --upgrade 'embedchain[elasticsearch]'" - ], + "execution_count": null, "metadata": { "id": "-MUFRfxV7Jk7" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "!pip install --upgrade 'embedchain[elasticsearch]'" + ] }, { "cell_type": "code", - "source": [ - "import os\n", - "from embedchain import App\n", - "\n", - "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"" - ], + "execution_count": null, "metadata": { "id": "0fBdQ9GAiRvK" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "import os\n", + "from embedchain import Pipeline as App\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-3: Define your Vector Database config" - ], "metadata": { "id": "Ns6RhPfbiitr" - } + }, + "source": [ + "### Step-3: Define your Vector Database config" + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "S9CkxVjriotB" + }, + "outputs": [], "source": [ "config = \"\"\"\n", "vectordb:\n", @@ -104,64 +104,64 @@ "# Write the multi-line string to a YAML file\n", "with open('elasticsearch.yaml', 'w') as file:\n", " file.write(config)" - ], - "metadata": { - "id": "S9CkxVjriotB" - }, - "execution_count": null, - "outputs": [] + ] }, { "cell_type": "markdown", - "source": [ - "### Step-4 Create embedchain app based on the config" - ], "metadata": { "id": "PGt6uPLIi1CS" - } + }, + "source": [ + "### Step-4 Create embedchain app based on the config" + ] }, { "cell_type": "code", - "source": [ - "app = App.from_config(yaml_path=\"elasticsearch.yaml\")" - ], + "execution_count": null, "metadata": { "id": "Amzxk3m-i3tD" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "app = App.from_config(yaml_path=\"elasticsearch.yaml\")" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-5: Add data sources to your app" - ], "metadata": { "id": "XNXv4yZwi7ef" - } + }, + "source": [ + "### Step-5: Add data sources to your app" + ] }, { "cell_type": "code", - "source": [ - "app.add(\"https://www.forbes.com/profile/elon-musk\")" - ], + "execution_count": null, "metadata": { "id": "Sn_0rx9QjIY9" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "app.add(\"https://www.forbes.com/profile/elon-musk\")" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-6: All set. Now start asking questions related to your data" - ], "metadata": { "id": "_7W6fDeAjMAP" - } + }, + "source": [ + "### Step-6: All set. Now start asking questions related to your data" + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "cvIK7dWRjN_f" + }, + "outputs": [], "source": [ "while(True):\n", " question = input(\"Enter question: \")\n", @@ -169,12 +169,21 @@ " break\n", " answer = app.query(question)\n", " print(answer)" - ], - "metadata": { - "id": "cvIK7dWRjN_f" - }, - "execution_count": null, - "outputs": [] + ] } - ] -} \ No newline at end of file + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/embedchain-chromadb-server.ipynb b/notebooks/embedchain-chromadb-server.ipynb index 254c0bbc..1bb6f27b 100644 --- a/notebooks/embedchain-chromadb-server.ipynb +++ b/notebooks/embedchain-chromadb-server.ipynb @@ -33,7 +33,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "from embedchain.config import AppConfig\n", "\n", "\n", diff --git a/notebooks/embedchain-docs-site-example.ipynb b/notebooks/embedchain-docs-site-example.ipynb index 27f28f32..6c085507 100644 --- a/notebooks/embedchain-docs-site-example.ipynb +++ b/notebooks/embedchain-docs-site-example.ipynb @@ -7,7 +7,7 @@ "metadata": {}, "outputs": [], "source": [ - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "embedchain_docs_bot = App()" ] diff --git a/notebooks/gpt4all.ipynb b/notebooks/gpt4all.ipynb index 951bb76a..16c4d1c5 100644 --- a/notebooks/gpt4all.ipynb +++ b/notebooks/gpt4all.ipynb @@ -33,6 +33,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -67,7 +76,7 @@ }, "outputs": [], "source": [ - "from embedchain import App" + "from embedchain import Pipeline as App" ] }, { diff --git a/notebooks/hugging_face_hub.ipynb b/notebooks/hugging_face_hub.ipynb index 868d4cdc..835975ab 100644 --- a/notebooks/hugging_face_hub.ipynb +++ b/notebooks/hugging_face_hub.ipynb @@ -34,6 +34,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -84,7 +93,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"HUGGINGFACE_ACCESS_TOKEN\"] = \"hf_xxx\"" ] diff --git a/notebooks/jina.ipynb b/notebooks/jina.ipynb index 801d25b7..6d6364fa 100644 --- a/notebooks/jina.ipynb +++ b/notebooks/jina.ipynb @@ -34,6 +34,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -54,7 +63,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"\n", "os.environ[\"JINACHAT_API_KEY\"] = \"xxx\"" diff --git a/notebooks/llama2.ipynb b/notebooks/llama2.ipynb index 8852d593..52f51618 100644 --- a/notebooks/llama2.ipynb +++ b/notebooks/llama2.ipynb @@ -33,6 +33,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -64,7 +73,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"\n", "os.environ[\"REPLICATE_API_TOKEN\"] = \"xxx\"" diff --git a/notebooks/openai.ipynb b/notebooks/openai.ipynb index acfbfdcc..f89bbe94 100644 --- a/notebooks/openai.ipynb +++ b/notebooks/openai.ipynb @@ -34,6 +34,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -54,7 +63,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"" ] diff --git a/notebooks/opensearch.ipynb b/notebooks/opensearch.ipynb index 16a6b1e6..00b91659 100644 --- a/notebooks/opensearch.ipynb +++ b/notebooks/opensearch.ipynb @@ -1,95 +1,95 @@ { - "nbformat": 4, - "nbformat_minor": 0, - "metadata": { - "colab": { - "provenance": [] - }, - "kernelspec": { - "name": "python3", - "display_name": "Python 3" - }, - "language_info": { - "name": "python" - } - }, "cells": [ { "cell_type": "markdown", - "source": [ - "## Cookbook for using OpenSearchDB with Embedchain" - ], "metadata": { "id": "b02n_zJ_hl3d" - } + }, + "source": [ + "## Cookbook for using OpenSearchDB with Embedchain" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-1: Install embedchain package" - ], "metadata": { "id": "gyJ6ui2vhtMY" - } + }, + "source": [ + "### Step-1: Install embedchain package" + ] }, { "cell_type": "code", - "source": [ - "!pip install embedchain" - ], + "execution_count": null, "metadata": { "id": "-NbXjAdlh0vJ" }, + "outputs": [], + "source": [ + "!pip install embedchain" + ] + }, + { + "cell_type": "code", "execution_count": null, - "outputs": [] + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] }, { "cell_type": "markdown", + "metadata": { + "id": "nGnpSYAAh2bQ" + }, "source": [ "### Step-2: Set OpenAI environment variables and install the dependencies.\n", "\n", "You can find this env variable on your [OpenAI dashboard](https://platform.openai.com/account/api-keys). Now lets install the dependencies needed for Opensearch." - ], - "metadata": { - "id": "nGnpSYAAh2bQ" - } + ] }, { "cell_type": "code", - "source": [ - "!pip install --upgrade 'embedchain[opensearch]'" - ], + "execution_count": null, "metadata": { "id": "-MUFRfxV7Jk7" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "!pip install --upgrade 'embedchain[opensearch]'" + ] }, { "cell_type": "code", - "source": [ - "import os\n", - "from embedchain import App\n", - "\n", - "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"" - ], + "execution_count": null, "metadata": { "id": "0fBdQ9GAiRvK" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "import os\n", + "from embedchain import Pipeline as App\n", + "\n", + "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-3: Define your Vector Database config" - ], "metadata": { "id": "Ns6RhPfbiitr" - } + }, + "source": [ + "### Step-3: Define your Vector Database config" + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "S9CkxVjriotB" + }, + "outputs": [], "source": [ "config = \"\"\"\n", "vectordb:\n", @@ -108,64 +108,64 @@ "# Write the multi-line string to a YAML file\n", "with open('opensearch.yaml', 'w') as file:\n", " file.write(config)" - ], - "metadata": { - "id": "S9CkxVjriotB" - }, - "execution_count": null, - "outputs": [] + ] }, { "cell_type": "markdown", - "source": [ - "### Step-4 Create embedchain app based on the config" - ], "metadata": { "id": "PGt6uPLIi1CS" - } + }, + "source": [ + "### Step-4 Create embedchain app based on the config" + ] }, { "cell_type": "code", - "source": [ - "app = App.from_config(yaml_path=\"opensearch.yaml\")" - ], + "execution_count": null, "metadata": { "id": "Amzxk3m-i3tD" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "app = App.from_config(yaml_path=\"opensearch.yaml\")" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-5: Add data sources to your app" - ], "metadata": { "id": "XNXv4yZwi7ef" - } + }, + "source": [ + "### Step-5: Add data sources to your app" + ] }, { "cell_type": "code", - "source": [ - "app.add(\"https://www.forbes.com/profile/elon-musk\")" - ], + "execution_count": null, "metadata": { "id": "Sn_0rx9QjIY9" }, - "execution_count": null, - "outputs": [] + "outputs": [], + "source": [ + "app.add(\"https://www.forbes.com/profile/elon-musk\")" + ] }, { "cell_type": "markdown", - "source": [ - "### Step-6: All set. Now start asking questions related to your data" - ], "metadata": { "id": "_7W6fDeAjMAP" - } + }, + "source": [ + "### Step-6: All set. Now start asking questions related to your data" + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "cvIK7dWRjN_f" + }, + "outputs": [], "source": [ "while(True):\n", " question = input(\"Enter question: \")\n", @@ -173,12 +173,21 @@ " break\n", " answer = app.query(question)\n", " print(answer)" - ], - "metadata": { - "id": "cvIK7dWRjN_f" - }, - "execution_count": null, - "outputs": [] + ] } - ] -} \ No newline at end of file + ], + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "name": "python3" + }, + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/notebooks/pinecone.ipynb b/notebooks/pinecone.ipynb index 5f6b018d..50f21c19 100644 --- a/notebooks/pinecone.ipynb +++ b/notebooks/pinecone.ipynb @@ -29,6 +29,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -60,7 +69,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"\n", "os.environ[\"PINECONE_API_KEY\"] = \"xxx\"\n", diff --git a/notebooks/vertex_ai.ipynb b/notebooks/vertex_ai.ipynb index 574f65ea..0fa2e4f1 100644 --- a/notebooks/vertex_ai.ipynb +++ b/notebooks/vertex_ai.ipynb @@ -33,6 +33,15 @@ "!pip install embedchain" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install embedchain[dataloaders]" + ] + }, { "cell_type": "markdown", "metadata": { @@ -64,7 +73,7 @@ "outputs": [], "source": [ "import os\n", - "from embedchain import App\n", + "from embedchain import Pipeline as App\n", "\n", "os.environ[\"OPENAI_API_KEY\"] = \"sk-xxx\"" ]