Interactive-RAG and Google-Cloud-RAG-Langchain
These are complementary tools that serve different use cases within the MongoDB-LangChain RAG ecosystem: one provides an interactive, parameter-tuning interface for experimenting with RAG systems, while the other demonstrates a production-ready integration pattern using Google Cloud infrastructure.
About Interactive-RAG
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.
About Google-Cloud-RAG-Langchain
mongodb-developer/Google-Cloud-RAG-Langchain
RAG Chat Assistant with MongoDB Atlas, Google Cloud and Langchain
This is a chatbot assistant that helps you quickly find answers within your own documents. You provide your documents, like PDFs, and it allows you to ask questions in plain language, receiving relevant answers. It's designed for developers or technical users who want to build and host a custom Q&A system for their specific content.
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