Claude Skill
2dogsandanerd/ClawRag
ClawRag is a Python-based RAG system combining Docling document processing with ChromaDB vector storage to power OpenClaw. Enables efficient semantic search and document retrieval.
Overview
Repository
Install this Skill
git clone https://github.com/2dogsandanerd/ClawRag.gitRegistry
Summary
ClawRag is a Retrieval-Augmented Generation (RAG) system that integrates Docling document processing with ChromaDB vector storage to power the OpenClaw project. Built in Python, it enables efficient document indexing and semantic search for AI-driven applications.
结合Docling文档处理与ChromaDB向量存储的RAG系统，为OpenClaw提供支持。
Key features
- Docling document processing integration
- ChromaDB vector storage for embeddings
- RAG pipeline for semantic search
- Python-based implementation
- Designed to power OpenClaw
Use cases
- Document indexing and retrieval for AI assistants
- Semantic search over large document collections
- Knowledge base augmentation for chatbots
- Research paper analysis and querying
- Enterprise document Q&A systems
README excerpt
⚠️ IMPORTANT NOTICE REGARDING PLAGIARISM & AUTHORSHIP ⚠️ It has come to my attention that the GitHub user @tfantas (Thiago Antas) and his automated account @jarvis-aix are falsely claiming credit for my architecture. They have explicitly listed my original repositories (including RAG_enterprise_core, smart-ingest-kit, DAUT, etc.) as their own '🔬 Featured Work' on their public profile without authorization or proper attribution. Below is the documented proof.  https://github.com/tfantas seems to have 20+ years of expirience but no own ideas .... Im gonna make him famous...... If you enjoyed my repos and found them useful, Im sorry but im out of this game !!! No more opensource Sorry Im sure you will find my further developed Repos at https://github.com/jarvis-aix .... What a disgrace and disrespect ! This repository, the Multi-Lane Consensus Architecture, and the V4.0 Manifest are 100% my original work, built over two years. Please be highly cautious of actors in the AI space attempting to rebrand, clone, or take credit for this Enterprise RAG system ⚠️ ⚠️ ⚠️ # ClawRAG [](https://github.com/2dogsandanerd/ClawRag/releases) [](https://opensource.org/licenses/MIT) [](https://www.docker.com/) [](https://www.python.org/) [](https://github.com/2dogsandanerd/RAG_enterprise_core) **Production-Ready RAG Engine. Self-Hosted. Data Sovereign. Enterprise-Grade.** ClawRAG is a powerful, self-h
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