rag-store
CommunityLocal document ingestion and semantic Q&A.
Data & Analytics#python#semantic-search#vector-store#document-ingestion#local-storage#chromadb#ragstore
AuthorArry8
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Local RAG store to ingest books, PDFs, and text files and answer questions using semantic search.
Core Features & Use Cases
- Ingest documents from multiple formats into a persistent local vector store using ragstore.py
- Semantically query across ingested content to retrieve relevant chunks and sources
- Manage collections and sources with CLI: add, query, list, remove, and delete
Quick Start
Ingest a document into the local RagStore using ragstore.py add and then query with ragstore.py query
Dependency Matrix
Required Modules
chromadb
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rag-store Download link: https://github.com/Arry8/openclaw-edge/archive/main.zip#rag-store Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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