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ChromaDB (also known as Chroma or chroma-core) is an open-source vector database focused on LLM applications, emphasizing simplicity and in-memory HNSW-based dense vector search. It is suited for prototyping, metadata filtering, and offers a user-friendly interface for building and testing vector search applications, though it currently lacks hybrid and distributed features.

Redis, while primarily an in-memory data store, offers vector search capabilities through its RediSearch and RedisAI modules, enabling vector similarity searches and deep learning model management for existing Redis users. With the RediSearch module, Redis extends its functionality to support native vector search, indexing, and hybrid queries, making it suitable for real-time AI and semantic search applications.