RAG / 向量检索排行

PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.

A travel agent based on Qwen2.5, fine-tuned by SFT + DPO/PPO/GRPO using traveling question-answer dataset, a mindmap can be output using the response. A RAG system is build upon the tuned qwen2, using Prompt-Template + Tool-Use + Chroma embedding database + LangChain

An example of a RAG backend plus UI

Production-grade multimodal RAG for financial document intelligence. Chart understanding · hybrid retrieval · numeric guardrails · multi-tenancy · full observability.

A High-Efficiency System of Large Language Model Based Search Agents

Possibly futile attempt at grounding hype with theory and fundamentals

从零开始基于 LangGraph 和 Streamlit 实现基于本地模型的 RAG、Agent 应用

Self-hosting Langfuse on Amazon ECS with Fargate using CDK Python

Examples of my tutorial on how to use Neo4j for empowering AI RAG systems

Reliable and Efficient Semantic Prompt Caching with vCache

🐕 Self-hosted security-first AI agent · 28 providers · 11 chat channels · WebUI · 3-level memory · task-schedule · automation · skills · MCP

Production inference for encoder models - ColBERT, GLiNER, ColPali, embeddings etc. - as vLLM plugins for online and in-process deployment

Inference Hub for AI at Scale

Create conversational AI solutions with custom data and abilities using ChatBotKit for JavaScript, TypeScript, React, and Next.js.

BrainX 是一个智能系统，分析各种媒体格式，整合到知识库，并生成定制内容，包括机器人、洞察和媒体。它旨在为用户提供个性化和自动化的解决方案。

RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery ingestion pipeline, Gradio UI, and an evaluation suite (Hit-Rate, MRR, hybrid configs).

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

【AIGC 实战入门笔记 —— AIGC 摩天大楼】分享 大语言模型（LLMs），大模型高效微调（SFT）,检索增强生成（RAG），智能体（Agent），PPT自动生成, 角色扮演，文生图（Stable Diffusion） ，图像文字识别（OCR），语音识别（ASR），语音合成（TTS），人像分割（SA），多模态（VLM），Ai 换脸(Face Swapping), 文生视频(VD)，图生视频（SVD），Ai 动作迁移，Ai 虚拟试衣，数字人，全模态理解（Omni），Ai音乐生成 干货学习 等 实战与经验。

ASK MIRAGE is an offline AI-powered chatbot that allows users to upload PDFs and ask natural language questions. Built with LLaMA, FAISS, and LangChain, it delivers fast, accurate, and context-aware responses without needing an internet connection. Ideal for students and professionals working with large documents.

Collaborative Multi-Agent RAG with CrewAI