AI Agent Skills

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

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

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

Distributed vector search for AI-native applications

dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

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

Agent skills for Qdrant vector search: scaling, performance optimization, search quality, monitoring, deployment, model migration, version upgrades, and SDK usage across…