A lightweight knowledge system for small‑and‑medium teams tailored to AI Agents. It compiles Feishu Docs, local Markdown, code structures and curated business data into structured, traceable knowledge, guiding Agents to retrieve high‑quality content via pattern‑driven reasoning and exploration.
Agentic RAG knowledge search assistant for Kore.ai docs and SDK references using FastAPI, React, LangGraph, and ChromaDB, with source-grounded answers, reasoning traces, and confidence-aware retrieval.
AI Research Assistant is an intelligent web application that helps users analyze documents, search research content, and generate AI-powered answers. The project uses Retrieval-Augmented Generation (RAG) concepts to retrieve relevant information and provide accurate responses from research papers, notes, and documents.
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