RAG System · TypeScript

obsidian-hybrid-chat

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

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What it is

Hybrid 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.

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

Where it counts

NLP & LLMs90%
Machine Learning60%
Data Science20%
MLOps20%
AI Agents10%

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

28promptlintAI Developer Tool · Pythonpromptlint is a static analysis linter for LLM prompts that detects common anti-patterns such as prompt injection risks, missing token limits, and hardcoded secrets.53.6/100ImplementationPop AlexandruNLP & LLMs
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 · TypeScript51.4/100ImplementationJens MittelbachNLP & LLMs
31ai-service-chatbotRAG System · PythonThis 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…50.7/100ImplementationJens 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

What it is

Where it counts

Around it on the NLP & LLMs board

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