Identity Embedding Extraction And Caching

via “provider-agnostic embeddings generation with caching”

Framework for building LLM applications with chains, agents, retrieval, and tool use.

Unique: Provides BaseEmbeddings abstraction with support for 10+ providers (OpenAI, Hugging Face, Ollama, Cohere) and built-in caching via Redis or in-memory stores. Separates embed_documents() for batch processing from embed_query() for single queries, with async variants.

vs others: More comprehensive provider coverage than single-provider SDKs and more efficient than uncached embeddings because caching is transparent and integrated into the abstraction layer.