LLMUnity
Create characters in Unity with LLMs!
检索增强生成(RAG)让大模型根据你自己的文档回答问题:文本先被切成小块、转成向量、存进索引,提问时把最相关的几块加进提示词。这里的项目覆盖整条管线,或其中一环:文档解析、向量检索,或者完整的问答应用。
RAG 的回答质量主要取决于检索,而不是模型。比较时看:它怎么处理 PDF、表格、扫描件这类难文档;是否支持关键词加向量的混合检索和重排序;以及能不能显示答案出自哪些来源。
Create characters in Unity with LLMs!
Trench — Open-Source Analytics Infrastructure. A single production-ready Docker image built on ClickHouse, Kafka, and Node.js for tracking events. Easily build product analytics dashboards, LLM RAGs, observability platforms, or any other analytics product.
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
The unified multimodal backend for AI data apps. Database, orchestration, and serving in one Python file.
Open Source Implementation of Karpathy's LLM Wiki. Upload documents, connect your Claude account via MCP, and have it write your wiki !
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
适用于 AI 代理和 IDE 的高性能代码智能引擎,支持 257 种语言、多存储库、基于图形、可通过 CLI、MCP 服务器和 API 访问。 AI 编码代理队友 - 仅公开所需的信息,将代币使用量减少高达 50 倍。 100%本地化。不和谐:。
🤖 MLE-Agent: Your intelligent companion for seamless AI engineering and research. 🔍 Integrate with arxiv and paper with code to provide better code/research plans 🧰 OpenAI, Anthropic, Gemini, Ollama, etc supported. :fireworks: Code RAG
Learn LLM internals step by step - from tokenization to attention to inference optimization.
OpenSource Production ready Customer service with built in Evals and monitoring
Open-source agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.
Collect, organize, use, and share, all in OmniBox.
该项目围绕「DEEIX-AI/DEEIX-Chat」构建,面向真实业务场景提供可复用的开源实践方案,支持稳定落地与可扩展的项目实践。
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
Application implementation with business use cases for safely utilizing generative AI in business operations
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.
Daily updated LLM papers. 每日更新 LLM 相关的论文,欢迎订阅 👏 喜欢的话动动你的小手 🌟 一个
该项目围绕「study8677/repobrain」构建,面向真实业务场景提供可复用的开源实践方案,支持稳定落地与可扩展的项目实践。
The SmythOS Runtime Environment (SRE) is an open-source, cloud-native runtime for agentic AI. Secure, modular, and production-ready, it lets developers build, run, and manage intelligent agents across local, cloud, and edge environments.
[NeurIPS '25] Knowledge Graph Generation from Any Text
Hexabot v3 is an AI workflow automation platform, combining workflows, actions, agents, and conversational channels in one runtime.
Zero-dependency TypeScript framework for production AI agents: durable execution, long-term memory, hybrid RAG, MCP tool calling, human-in-the-loop approval, planning and CodeAct sandboxes. One streaming API for Claude, GPT, Gemini, Grok, Mistral and DeepSeek — Node, Bun, Deno, serverless and edge.
🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL