langchain-redis

Configuration class for Redis vector store settings.

This class defines the configuration parameters for setting up and interacting with a Redis vector store. It uses Pydantic for data validation and

Redis vector store integration.

Redis cache implementation for LangChain.

This class provides a Redis-based caching mechanism for LangChain, allowing storage and retrieval of language model responses.

Redis-based semantic cache implementation for LangChain.

This class provides a semantic caching mechanism using Redis and vector similarity search. It allows for storing and retrieving language model

Managed LangCache-backed semantic cache.

This uses redisvl.extensions.cache.llm.LangCacheSemanticCache (a wrapper over the managed LangCache API). The optional dependency langcache must be instal

Row-wise cosine similarity between two equal-width matrices.

Calculate maximal marginal relevance.

Maximal marginal relevance optimizes for similarity to the query AND diversity among selected documents.

Redis vector store.

Redis cache implementation for LangChain.