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add links to pinecone and add env var to index
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@ -54,7 +54,7 @@
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"source": [
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"# Setup\n",
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"\n",
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"Import libraries and set up a connection to a Pinecone vector database.\n",
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"Import libraries and set up a connection to a [Pinecone](https://www.pinecone.io) vector database.\n",
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"\n",
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"You can substitute Pinecone for any other vectorstore or database - there are a [selection](https://python.langchain.com/en/latest/modules/indexes/vectorstores.html) that are supported by Langchain natively, while other connectors will need to be developed yourself."
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]
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@ -66,11 +66,13 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install openai\n",
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"!pip install pinecone-client\n",
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"!pip install pandas\n",
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"!pip install typing\n",
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"!pip install tqdm\n",
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"!pip install langchain"
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"!pip install langchain\n",
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"!pip install wget"
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]
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},
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{
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@ -109,6 +111,15 @@
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"index_name = 'podcasts'"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "9c85f298",
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"metadata": {},
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"source": [
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"For acquiring an API key to connect with Pinecone, you can set up a [free account](https://app.pinecone.io/) and store it in the `api_key` variable below or in your environment variables under `PINECONE_API_KEY`"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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@ -116,8 +127,13 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"api_key = os.getenv(\"PINECONE_API_KEY\")\n",
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"pinecone.init(api_key=api_key)"
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"api_key = os.getenv(\"PINECONE_API_KEY\") or \"PINECONE_API_KEY\"\n",
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"\n",
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"# find environment next to your API key in the Pinecone console\n",
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"env = os.getenv(\"PINECONE_ENVIRONMENT\") or \"PINECONE_ENVIRONMENT\"\n",
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"\n",
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"pinecone.init(api_key=api_key, environment=env)\n",
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"pinecone.whoami()"
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]
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},
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{
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