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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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| .. | ||
| agent | ||
| cache | ||
| callbacks | ||
| chains | ||
| chat_models | ||
| document_loaders | ||
| embeddings | ||
| examples | ||
| llms | ||
| memory | ||
| prompts | ||
| retrievers | ||
| utilities | ||
| vectorstores | ||
| __init__.py | ||
| .env.example | ||
| conftest.py | ||
| test_document_transformers.py | ||
| test_nlp_text_splitters.py | ||
| test_pdf_pagesplitter.py | ||
| test_schema.py | ||
| test_text_splitter.py | ||