AI Agent Skills

Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application

Scalable, fast, and disk-friendly vector search in Postgres, the successor of pgvecto.rs.

Benchmark for vector databases.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

A query and indexing engine for Redis, providing secondary indexing, full-text search, vector similarity search and aggregations.

HelixDB is an OLTP graph-vector database built in Rust.

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

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…

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.