rag-chatbot and rag-template
These are competitors offering similar RAG-based chatbot architectures, with A providing a more opinionated Markdown-focused implementation while B offers a more flexible template emphasizing vector search infrastructure and API design.
About rag-chatbot
umbertogriffo/rag-chatbot
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
This chatbot helps you get answers from your own collection of Markdown documents, like internal company wikis or project notes. You provide the chatbot with your Markdown files, and it allows you to ask questions in plain language, providing concise answers based only on the information within those documents. It's ideal for anyone who needs to quickly find specific information across a large set of internal documentation.
About rag-template
stackitcloud/rag-template
Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.
This project helps create custom AI chatbots and document search systems for internal company use. You provide a collection of documents (like PDFs, Office files, or web content), and it enables users to ask questions or search these documents using a natural language chat interface. This is ideal for knowledge managers, training departments, or anyone needing to make large internal document archives easily searchable.
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