vector

The memory & storage engine for AI agents. Multi-model, edge-to-cloud, PostgreSQL-compatible.

ChatData 🔍 📖 brings RAG to real applications with FREE✨ knowledge bases. Now enjoy your chat with 6 million wikipedia pages and 2 million arxiv papers.

Fast similarity search using DuckDB

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

Lightweight graph database with relational, vector, and MCP support, designed to power knowledge and artificial intelligence persistence and retrieval.

MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.

This repo accelerates development of RAG applications with rich data sources including SQL Warehouses and documents analysed with Azure Document Intelligence

OasisDB: A minimal and lightweight vector database

Samples about using vector in SQL Server and Azure SQL

chm to markdown and vectorDB

VQLite - Simple and Lightweight Vector Search Engine based on Google ScaNN

The Cursor10x MCP is a persistent multi-dimensional memory system for Cursor that enhances AI assistants with conversation context, project history, and code relationships across sessions.

Samples on how to build industry solution leveraging generative AI capabilities on top of SAP BTP and integrated with SAP S/4HANA Cloud.

Research framework that quantifies how steganographic obfuscation of embeddings defeats off-the-shelf statistical detection in RAG pipelines, paired with the VectorPin cryptographic-provenance defense

hnswlib-wasm attempts to create a browser friendly version of hnswlib

A unified python SDK supports OceanBase or OceanBase seekdb, more efficient and easy-to-use.

An interactive RAG agent built with LangChain and MongoDB Atlas. Manage your knowledge base, switch embedding models, and tune retrieval parameters on-the-fly through a conversational interface.

Vemcache is an in-memory vector database.

An easy-to-use vector database.

Piazza-Updater automates updates to a Weaviate database with real-time vectorial data. By continuously searching the internet and integrating with Verba repositories, it enhances retrieval-augmented generation (RAG) capabilities, keeping your applications informed and responsive.