ranfysvalle02/Interactive-RAG
An interactive RAG agent built with LangChain and MongoDB Atlas. Manage your knowledge base, switch embedding models, and tune retrieval parameters on-the-fly through a conversational interface.
This project helps operations engineers, knowledge managers, or AI product owners build and manage intelligent conversational agents. It allows you to feed in website content to create a unified knowledge base, which the agent uses to answer questions. You can then fine-tune how the agent retrieves information and even update specific knowledge chunks through a conversational interface.
Use this if you need to build a dynamic, manageable knowledge base for an AI agent that can be updated and tuned on the fly through an interactive chat.
Not ideal if you need a simple, one-off RAG solution without the need for interactive knowledge base management or advanced retrieval tuning.
Stars
42
Forks
11
Language
JavaScript
License
Apache-2.0
Category
Last pushed
Dec 19, 2025
Commits (30d)
0
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