{"repo":"skhalidmahmud/RAG-Knowledge-Engine","free":true,"listed":false,"github":"https://github.com/skhalidmahmud/RAG-Knowledge-Engine","clone":"git clone https://github.com/skhalidmahmud/RAG-Knowledge-Engine.git","description":"Advanced RAG (Retrieval-Augmented Generation) system for private document intelligence. Uses OpenAI GPT-4o and Vector Databases to provide zero-hallucination chat insights.","language":null,"stars":18,"topics":["knowledge-base","langchain","llm","nlp","openai","rag","vector-database"],"license":"MIT","category":"ai-agents","readme_excerpt":"RAG Knowledge Engine 📚 AI is great, but it often makes things up (hallucinations). I built this \"Knowledge Engine\" to make AI more reliable by grounding it in real documents. How it works: You can upload PDFs or text files, and the system \"reads\" them. When you ask a question, the AI searches your documents first to find the exact answer, rather than guessing. The Tech: - LLM: OpenAI GPT-4o. - Framework: LangChain for the AI logic. - Storage: ChromaDB (Vector Store) to keep track of document text. This is a great tool for anyone who needs to search through large documents quickly and accurately.","default_branch":null,"files":null,"tree":[],"storefront":"/r/skhalidmahmud","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/skhalidmahmud/RAG-Knowledge-Engine/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}