langchain

Author	SHA1	Message	Date
Davis Chase	55baa0d153	Update redis integration tests (#4937 )	1 year ago
Evan Jones	f668251948	parameterized distance metrics; lint; format; tests (#4375 ) # 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 ?	1 year ago
Harrison Chase	be7a8e0824	Harrison/redis cache (#3766 ) Co-authored-by: Tyler Hutcherson <tyler.hutcherson@redis.com>	1 year ago
Xin Qiu	4e13cef05a	feat: add redisearch vectorstore (#1307 ) # Description Add `RediSearch` vectorstore for LangChain RediSearch: [RediSearch quick start](https://redis.io/docs/stack/search/quick_start/) # How to use ``` from langchain.vectorstores.redisearch import RediSearch rds = RediSearch.from_documents(docs, embeddings,redisearch_url="redis://localhost:6379") ```	1 year ago