AI Agent Skills

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

AI-native HTAP database with Git-for-Data and built-in vector search, serving as the data and memory backbone for intelligent agents and applications.

A multi-modal vector database that supports upserts and vector queries using unified SQL (MySQL-Compatible) on structured and unstructured data, while meeting the requir…

Python SDK for Milvus Vector Database

Endee.io – A high-performance vector database, designed to handle up to 1B vectors on a single node, delivering significant performance gains through optimized indexing…

Python client for Qdrant vector search engine

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.

ArcadeDB Multi-Model Database, one DBMS that supports SQL, Cypher, Gremlin, HTTP/JSON, MongoDB and Redis. ArcadeDB is a conceptual fork of OrientDB, the first Multi-Mode…

AutoMem is a graph-vector memory service that gives AI assistants durable, relational memory:

Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.

NextPlaid, ColGREP: Multi-vector search, from database to coding agents.

A web interface to create custom vector-based visualizations on top of RAWGraphs core

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Distributed vector search for AI-native applications

Convert HTML to a multi-thousand-page vector PDF with a single line of frontend code