Unified multimodal backend for AI data apps

Suite of tools containing an in-memory vector datastore and AI proxy

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in s...

A curated list of battle-tested tools, frameworks, and best practices for building scalable, production-grade Retrieval-...

Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, em...

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

VectorRAG.Net is a .NET-native high-performance vector database library for semantic search and RAG (Retrieval-Augmented...

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

Memory library for building stateful agents

Example applications, microservices, and code samples for the Internet Computer

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

The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory...

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

Humans and AI agents, building knowledge bases together. Self-hosted document annotation, version control, semantic sear...

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique h...