Operational Database Management Systems
YugabyteDB is an open source distributed SQL database fully compatible with PostgreSQL. It is designed for cloud-native applications requiring horizontal scalability, geo-distribution, and high availability with ACID compliance. YugabyteDB supports both the PostgreSQL wire...
LanceDB is an open source vector database built on the Lance columnar storage format, designed for multimodal AI data including text, images, video, and audio. It is serverless, embeddable, and integrates with Python data...
Chroma is an open source AI-native embedding database designed specifically for building LLM applications and AI agents. It provides a simple Python and JavaScript API for storing, querying, and managing embeddings, and integrates directly...
Weaviate is an open source vector database with built-in support for multiple machine learning model integrations, multi-modal search, and hybrid search combining vector and keyword approaches. It features a GraphQL-based query interface and native...
Milvus is an open source vector database built for scalable similarity search in AI applications. It is a graduated project of the LF AI & Data Foundation and supports billion-scale vector search with high...
Qdrant is an open source vector similarity search engine and database written in Rust. It is designed specifically for AI applications requiring high-performance semantic search, recommendation systems, and retrieval-augmented generation. Qdrant supports filtering, payload...
FalkorDB is an open source property graph database built on Redis, optimized for ultra-low-latency graph queries in AI and RAG use cases. It supports the Cypher query language and is designed for applications where...
he official Neo4j Python package for building GraphRAG pipelines. It provides abstractions for knowledge graph construction, graph-based retrieval, and integration with popular LLM providers, enabling developers to build production-quality GraphRAG applications on top of...
LightRAG is a lightweight, fast open source implementation of GraphRAG that combines knowledge graph construction with vector retrieval for LLM-powered applications. It is designed to be simple to deploy and integrate, making it accessible...
GraphRAG is Microsoft’s open source implementation of graph-based retrieval-augmented generation for large language models. Rather than relying solely on vector similarity search, GraphRAG uses knowledge graphs to provide structured, context-rich retrieval that significantly improves...