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# Parameterize Redis vectorstore index Redis vectorstore allows for three different distance metrics: `L2` (flat L2), `COSINE`, and `IP` (inner product). Currently, the `Redis._create_index` method hard codes the distance metric to COSINE. I've parameterized this as an argument in the `Redis.from_texts` method -- pretty simple. Fixes #4368 ## Before submitting I've added an integration test showing indexes can be instantiated with all three values in the `REDIS_DISTANCE_METRICS` literal. An example notebook seemed overkill here. Normal API documentation would be more appropriate, but no standards are in place for that yet. ## Who can review? Not sure who's responsible for the vectorstore module... Maybe @eyurtsev / @hwchase17 / @agola11 ? |
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| docarray | 1 year ago | |
| __init__.py | 1 year ago | |
| analyticdb.py | 1 year ago | |
| annoy.py | 1 year ago | |
| atlas.py | 1 year ago | |
| base.py | 1 year ago | |
| chroma.py | 1 year ago | |
| deeplake.py | 1 year ago | |
| elastic_vector_search.py | 1 year ago | |
| faiss.py | 1 year ago | |
| lancedb.py | 1 year ago | |
| milvus.py | 1 year ago | |
| myscale.py | 1 year ago | |
| opensearch_vector_search.py | 1 year ago | |
| pgvector.py | 1 year ago | |
| pinecone.py | 1 year ago | |
| qdrant.py | 1 year ago | |
| redis.py | 1 year ago | |
| supabase.py | 1 year ago | |
| tair.py | 1 year ago | |
| utils.py | 1 year ago | |
| weaviate.py | 1 year ago | |
| zilliz.py | 1 year ago | |