langchain-redis: 0.1.1

cache

Classes

cache.EmbeddingsVectorizer(embeddings)	Create a new model by parsing and validating input data from keyword arguments.
cache.RedisCache([redis_url, ttl, prefix, ...])	Redis cache implementation for LangChain.
cache.RedisSemanticCache(embeddings[, ...])	Redis-based semantic cache implementation for LangChain.

chat_message_history

Classes

chat_message_history.RedisChatMessageHistory(...)

Redis-based implementation of chat message history.

config

Classes

config.RedisConfig

Configuration class for Redis vector store settings.

Functions

config.generate_ulid()

vectorstores

Classes

vectorstores.RedisVectorStore(embeddings[, ...])

Redis vector store integration.

Functions

vectorstores.cosine_similarity(X, Y)	Row-wise cosine similarity between two equal-width matrices.
vectorstores.maximal_marginal_relevance(...)	Calculate maximal marginal relevance.