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94c7899257
This PR adds Rockset as a vectorstore for langchain. [Rockset](https://rockset.com/blog/introducing-vector-search-on-rockset/) is a real time OLAP database which provides a fast and efficient vector search functionality. Further since it is entirely schemaless, it can store metadata in separate columns thereby allowing fast metadata filters during vector similarity search (as opposed to storing the entire metadata in a single JSON column). It currently supports three distance functions: `COSINE_SIMILARITY`, `EUCLIDEAN_DISTANCE`, and `DOT_PRODUCT`. This PR adds `rockset` client as an optional dependency. We would love a twitter shoutout, our handle is https://twitter.com/RocksetCloud --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com> |
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| .. | ||
| faiss_index | ||
| alibabacloud_opensearch.ipynb | ||
| analyticdb.ipynb | ||
| annoy.ipynb | ||
| atlas.ipynb | ||
| awadb.ipynb | ||
| azuresearch.ipynb | ||
| cassandra.ipynb | ||
| chroma.ipynb | ||
| deeplake.ipynb | ||
| docarray_hnsw.ipynb | ||
| docarray_in_memory.ipynb | ||
| elasticsearch.ipynb | ||
| faiss.ipynb | ||
| hologres.ipynb | ||
| lancedb.ipynb | ||
| matchingengine.ipynb | ||
| milvus.ipynb | ||
| myscale.ipynb | ||
| opensearch.ipynb | ||
| pgvector.ipynb | ||
| pinecone.ipynb | ||
| qdrant.ipynb | ||
| redis.ipynb | ||
| rockset_vector_database.ipynb | ||
| singlestoredb.ipynb | ||
| sklearn.ipynb | ||
| supabase.ipynb | ||
| tair.ipynb | ||
| tigris.ipynb | ||
| typesense.ipynb | ||
| vectara.ipynb | ||
| weaviate.ipynb | ||
| zilliz.ipynb | ||