ai

Vectra is a unified Ruby client for vector databases. Write once, switch providers seamlessly.

OpenCode plugin that gives coding agents persistent memory using local vector database

Decentralized vector database on Bittensor — content-addressed semantic memory for AI

Elixir RAG library with multi-LLM routing (Gemini, Claude, OpenAI, Ollama), GraphRAG, knowledge graphs, modular retrievers/rerankers, composable pipelines, pgvector integration, advanced chunking, and tool-using agents. Fork of bitcrowd/rag.

A simple yet powerful semantic AI search engine⚡️

AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM

AI Search engine

The data layer for AI with Vector, Graph and Vector-Math built into one single rust engine

AI-powered disaster response platform with offline-first architecture using Gemma 3n. Provides computer vision hazard detection, voice analysis with emergency keywords, PDF report generation, and multi-user coordination - all working without internet access.

🦫 Open-source iOS AI companion with a live VRM avatar that sees you — bring-your-own-key chat, vision, speech-to-text & text-to-speech (OpenAI, Anthropic, Gemini, ElevenLabs, Groq & more). SwiftUI.

Welcome to the Document QA system! This repository contains the code for a system that allows you to ask questions about your documents and get answers based on their contents. It supports a wide range of document formats, including PDF, Word, Excel, PowerPoint, text files, and even images!

Local AI model manager

Production-ready microservices framework for AI inference over RPC. It provides a Gateway for client requests, an Orchestrator that schedules work, a Registry for model metadata, Workers that run inference, and a full observability stack (Prometheus, Grafana, Loki, Jaeger) — all wired together with Docker Compose.

hugging face chat api for JS 🤗

The ultimate desktop app for tracking, managing, and validating AI models from Hugging Face, Civitai, OpenModelDB & more.

Detailed guide on Google's Gemma 3 AI

Visual tool to compare 6 RAG chunking strategies side-by-side with grading and query selection

In-memory vector database with pluggable indexing algorithms, metadata filtering, and a FastAPI-based REST API.

WMB-100K — The first 100,000-turn benchmark for AI memory systems

This is a repository to let you know the implementation of a basic RAG pipeline using LangChain in Supabase Edge Functions.