{ "cells": [ { "cell_type": "markdown", "id": "683953b3", "metadata": {}, "source": [ "# Pinecone\n", "\n", "This notebook shows how to use functionality related to the Pinecone vector database." ] }, { "cell_type": "code", "execution_count": 1, "id": "aac9563e", "metadata": {}, "outputs": [], "source": [ "from langchain.embeddings.openai import OpenAIEmbeddings\n", "from langchain.text_splitter import CharacterTextSplitter\n", "from langchain.vectorstores import Pinecone\n", "from langchain.document_loaders import TextLoader" ] }, { "cell_type": "code", "execution_count": 2, "id": "a3c3999a", "metadata": {}, "outputs": [], "source": [ "from langchain.document_loaders import TextLoader\n", "loader = TextLoader('../../state_of_the_union.txt')\n", "documents = loader.load()\n", "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n", "docs = text_splitter.split_documents(documents)\n", "\n", "embeddings = OpenAIEmbeddings()" ] }, { "cell_type": "code", "execution_count": null, "id": "6e104aee", "metadata": {}, "outputs": [], "source": [ "import pinecone \n", "\n", "# initialize pinecone\n", "pinecone.init(\n", " api_key=\"YOUR_API_KEY\", # find at app.pinecone.io\n", " environment=\"YOUR_ENV\" # next to api key in console\n", ")\n", "\n", "index_name = \"langchain-demo\"\n", "\n", "docsearch = Pinecone.from_documents(docs, embeddings, index_name=index_name)\n", "\n", "query = \"What did the president say about Ketanji Brown Jackson\"\n", "docs = docsearch.similarity_search(query)" ] }, { "cell_type": "code", "execution_count": null, "id": "9c608226", "metadata": {}, "outputs": [], "source": [ "print(docs[0].page_content)" ] }, { "cell_type": "code", "execution_count": null, "id": "a359ed74", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.1" } }, "nbformat": 4, "nbformat_minor": 5 }