RAG System · Python

ai-service-chatbot

A Streamlit service chatbot using an OpenAI assistant and RAG

Jens Mittelbach@jmiba · Atlas 61.8 · #6= builder

View on GitHub7 Open Jens Mittelbach's Atlas

What it is

This repository implements a Streamlit-based chatbot application that uses Retrieval-Augmented Generation (RAG) with OpenAI's API, web search, and MCP integration for domain-specific question answering. It includes an admin interface, scraping pipeline for knowledge base construction, and logging/analytics.

Scored from the code at its last scan, 16 Oct 2026. How merit is scored

Where it counts

NLP & LLMs80%
Data Science40%
Machine Learning30%
AI Agents20%
MLOps20%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

Around it on the NLP & LLMs board

Whole board

RankProjectBuilderFieldMerit

29llm-trainerML Application · JavaScriptllm-trainer is a full-stack application that provides a graphical interface for browsing Hugging Face datasets and fine-tuning local LLMs. It consists of a React frontend, an Express backend with WebSocket support, and a Python training worker that uses the Hugging Face…53.0/100ImplementationMaster MindNLP & LLMs
30obsidian-hybrid-chatRAG System · TypeScriptHybrid Chat is an Obsidian plugin that provides a federated, provider-neutral retrieval-augmented generation chat interface over existing Obsidian Hybrid Search services and OpenAI-compatible language models.51.4/100ImplementationJens MittelbachNLP & LLMs
31ai-service-chatbotRAG System · Python50.7/100ImplementationJens MittelbachNLP & LLMs
32, shared rankbol-tools-v2AI Developer Tool · PythonThe repository provides a suite of tools for probing and analyzing the internal representations of pre-trained transformer language models to investigate the Octopus Theory (whether models can understand language without generating it).50.4/100ImplementationRickNLP & LLMs
32, shared rankchk-livive-netML Application · JavaScriptThe repository provides a browser-based checkers game with alpha-beta Minimax AI and WebGPU-powered LLM personas, accompanied by a Godot 4 3D frontend and automated testing infrastructure.50.4/100ImplementationJarad PeckenpaughNLP & LLMs

What it is

Where it counts

Around it on the NLP & LLMs board

More from Jens Mittelbach