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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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| .. | ||
| cassettes | ||
| docarray | ||
| docker-compose | ||
| fixtures | ||
| __init__.py | ||
| conftest.py | ||
| fake_embeddings.py | ||
| test_analyticdb.py | ||
| test_annoy.py | ||
| test_atlas.py | ||
| test_chroma.py | ||
| test_deeplake.py | ||
| test_elasticsearch.py | ||
| test_faiss.py | ||
| test_lancedb.py | ||
| test_milvus.py | ||
| test_myscale.py | ||
| test_opensearch.py | ||
| test_pgvector.py | ||
| test_pinecone.py | ||
| test_qdrant.py | ||
| test_redis.py | ||
| test_tair.py | ||
| test_weaviate.py | ||
| test_zilliz.py | ||