embedding

Rust-powered code intelligence CLI for AI coding agents. Builds call graphs and hybrid semantic search indexes (Dense + Sparse + RRF + Reranker) across 7 languages. Ships as native MCP tools for Claude Code and Codex CLI.

This repo contains the code for "VLM2Vec / MMEB" [ICLR 2025], "VLM2Vec-V2 / MMEB-V2" [TMLR 2026], and "MMEB-V3" [COLM 2026]

A NodeJS RAG framework to easily work with LLMs and embeddings

✨ AI interface for tinkerers (Ollama, Haystack RAG, Python)

Java AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint

Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.

Java 8+ agentic SDK: unified LLM access (OpenAI/Anthropic/DashScope/Doubao/DeepSeek...), Tool Calling, MCP, RAG, Agent Runtime, and a built-in Coding Agent CLI/TUI/ACP.

Quickly and easily build AI website or application by using embeddings!

🔧 Repair JSON！Solution for JSON Anomalies from LLMs.

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。

A ChatGPT integration library for .NET, supporting both OpenAI and Azure OpenAI Service

The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.

gpt_server是一个用于生产级部署LLMs、Embedding、Reranker、ASR、TTS、文生图、图片编辑和文生视频的开源框架。

Self-hosted AI RAG + MCP Platform

A simple, easy-to-hack Vector Database

RAFT, or Retrieval-Augmented Fine-Tuning, is a method comprising of a fine-tuning and a RAG-based retrieval phase. It is particularly suited for the creation of agents that realistically emulate a specific human target.

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.