vector-database

Python SDK for interacting with the Moorcheh Semantic Search API v1. Moorcheh provides ultra-fast, highly accurate vector similarity search and analysis capabilities based on information-theoretic principles.

Kubernetes operator for Qdrant

Some Cool Semantic Kernel Plugins

[NeurIPS'24] Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

Turn PostgreSQL into your search engine in a Pythonic way.

TinyVecDB is an ultra fast embedded vector database.

Set of PocketBase plugins to add features

Kubernetes operator for producing vector embeddings based on source code repositories.

This repo is a beginner's guide to using Chroma. It covers all the major features including adding data, querying collections, updating and deleting data, and using different embedding functions. Each topic has its own dedicated folder with a detailed README and corresponding Python scripts for a practical understanding.

Cognitive memory engine for AI agents — temporal decay, contradiction detection, autonomous consolidation, knowledge graph, ANN recall via HNSW. Embeddable Rust library with Python bindings; powers yantrikdb-server (HTTP gateway, MCP server, openraft cluster). Apache-2.0.

Stop paying for AI APIs during development. LocalCloud runs everything locally - GPT-level models, databases, all free.

The official Java client for the Pinecone vector database

Git for Agent Memory: Copy-On-Write vector branching for embedded multi-agent memory (83x faster, 3000x smaller snapshots)

NeuronDB PostgreSQL extension: vector similarity search (HNSW, IVFFlat), embeddings, kNN, ML in SQL, and hybrid full-text + vector retrieval.

A virtual agent for your virtual books📚

Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.

PostgreSQL-compatible SQL, graph, and vector database built from scratch in Rust.

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

A curated list of PHP libraries and tools for AI, Machine Learning, and Natural Language Processing. Find everything you need to integrate modern AI capabilities into your PHP applications.

The native AI Agent framework for Bun. Build local-first, bare-metal agents with embedded vector search and instant API deployment. 🚀