Vectra is a local vector database for Node.js with features similar to Pinecone but built using local files. It supports semantic search and document embeddings with no external service dependencies, ideal for RAG application development in Node.js environments.
All-in-one AI framework for semantic search, LLM orchestration, and language model workflows with agent support, RAG, and vector database
Weaviate is an open-source vector database that stores objects and vectors, allowing for combining vector search with structured filtering. It has built-in vectorization modules and supports multimodal data search.
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
An open-source graph-vector database built from scratch in Rust, combining graph database and vector retrieval capabilities to provide AI agents with unified storage for both knowledge graphs and semantic search.