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Colin Jarvis 2023-01-16 07:45:17 -08:00
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examples/vector_databases/Using_vector_databases_for_embeddings_search.ipynb
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"id": "cb1537e6",
"metadata": {},
"source": [
"# Vector Database Introduction\n",
"# Using Vector Databases for Embeddings Search\n",
"\n",
"This notebook takes you through a simple flow to download some data, embed it, and then index and search it using a selection of vector databases. This is a common requirement for customers who want to store and search our embeddings with their own data in a secure environment to support production use cases such as chatbots, topic modelling and more.\n",
"\n",