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Add Chroma to Vector Database examples #262

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merged 7 commits into from
Apr 6, 2023
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Add Chroma to Vector Database examples #262

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160a29a
Vector store notebook
atroyn Feb 27, 2023
525bf5c
HyDE with Chroma
atroyn Mar 17, 2023
ed23f17
Cleaner text
atroyn Mar 17, 2023
99fae21
add swyx edits
swyxio Mar 20, 2023
4975d90
Cleaned up text / outputs
atroyn Mar 21, 2023
7d9d3b9
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atroyn Mar 23, 2023
2d1b238
Fixed comment format
atroyn Apr 6, 2023
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@atroyn
atroyn committed Apr 5, 2023
commit ed23f17f381853aff305082ab138721dbfac8944
3 changes: 2 additions & 1 deletion examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb
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]
},
{
"attachments": {},
"cell_type": "markdown",
"id": "ed32fc87",
"metadata": {},
"source": [
"## Pinecone\n",
"\n",
"We'll index these embedded documents in a vector database and search them. The first option we'll look at is **Pinecone**, a managed vector database which offers a cloud-native option.\n",
"The next option we'll look at is **Pinecone**, a managed vector database which offers a cloud-native option.\n",
"\n",
"Before you proceed with this step you'll need to navigate to [Pinecone](pinecone.io), sign up and then save your API key as an environment variable titled ```PINECONE_API_KEY```.\n",
"\n",
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