Enterprise policy AI Q&A system — policy management + RAG Q&A + action guidance, deployable on-premises
-
Updated
Aug 15, 2026 - TypeScript
Enterprise policy AI Q&A system — policy management + RAG Q&A + action guidance, deployable on-premises
PIXIE — An OpenEnv-compatible Dual Rover RL environment. Contains two distinct environments: Mars Rover (deep autonomy, communication delay, long-horizon planning) and Moon Rover (short-horizon, survival under extreme day/night cycle). Both are controlled via natural language by an LLM agent
Production multi-agent research system — LangGraph, Groq, Tavily, Redis, Celery, FastAPI, Docker
60 deep-dive markdown notes on Retrieval-Augmented Generation — from embeddings and vector search to agentic RAG, GraphRAG, evaluation, security, and enterprise-scale architecture.
Agentic RAG using FastAPI, FAISS, LangChain & Groq — with real-time web validation via Tavily — to answer your PDF-based queries intelligently. Android app using Java.
An intelligent chat message processing agent built with Spring Boot, Spring AI, Harness, and LangSmith.一个基于 Spring Boot、Spring AI、Harness 和 LangSmith 构建的智能聊天消息处理代理。
complete learning path for mastering LangGraph, from building agents from scratch to implementing sophisticated multi-agent systems.
Add a description, image, and links to the agnetic-rag topic page so that developers can more easily learn about it.
To associate your repository with the agnetic-rag topic, visit your repo's landing page and select "manage topics."