Qdrant
ActiveDescription
Qdrant is a high-performance vector database widely used as the retrieval layer for RAG and agent memory search scenarios.
Qdrant is a high-performance vector database widely used as the retrieval layer for RAG and agent memory search scenarios.
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.
EmbedAnything is a highly performant, modular, and memory-safe embedding inference and indexing framework built in Rust, providing production-ready RAG ingestion and indexing pipelines for local and cloud deployment.
CozoDB is a transactional, relational-graph-vector database that uses Datalog for queries. Designed as the hippocampus for AI, it unifies graph traversal, vector search, and relational queries.
A Data Agent Ready Warehouse unifying Analytics, Search, AI, and Python Sandbox in one system. Runs on your S3 with built-in vector search, full-text search, and Python execution for AI-powered data analysis.