JVector
ActiveDescription
JVector is the most advanced embedded vector search engine, built in pure Java by DataStax. It provides high-performance ANN search for RAG and AI applications on the JVM.
JVector is the most advanced embedded vector search engine, built in pure Java by DataStax. It provides high-performance ANN search for RAG and AI applications on the JVM.
A vector search SQLite extension. Add vector similarity search to SQLite with float32/int8 vectors — ideal for local RAG applications.
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.
AI Data Runtime for Agents. Provides serverless Postgres with a multimodal datalake, enabling scalable retrieval and training. Unifies vector storage, dataset management, and streaming data loading for AI agent workflows.
A lightweight, lightning-fast, in-process vector database by Alibaba with C++ core, Node.js and Python bindings, designed for RAG, agent memory, and vector search use cases.