Add LICENSE, package.json, CHANGELOG, and enhance documentation
- Add MIT License - Add package.json with OpenClaw skill metadata - Explicitly declares NO required environment variables (fully local) - Documents data storage path: ~/.openclaw/data/rag/ - Includes installation steps and available scripts - Add CHANGELOG.md with version history (v1.0.0) - Update README.md to: - Clarify no API keys required (fully local system) - Add documentation files section - Reference CHANGELOG, LICENSE, package.json - Addresses security scanner best practices for transparency
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CHANGELOG.md
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CHANGELOG.md
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# Changelog
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All notable changes to the OpenClaw RAG Knowledge System will be documented in this file.
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## [1.0.0] - 2026-02-11
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### Added
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- Initial release of RAG Knowledge System for OpenClaw
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- Semantic search using ChromaDB with all-MiniLM-L6-v2 embeddings
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- Multi-source indexing: sessions, workspace files, skill documentation
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- CLI tools: rag_query.py, rag_manage.py, ingest_sessions.py, ingest_docs.py
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- Python API: rag_query_wrapper.py for programmatic access
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- Automatic integration wrapper: rag_context.py for transparent RAG queries
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- RAG-enhanced agent wrapper: rag_agent.py
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- Type filtering: search by document type (session, workspace, skill, memory)
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- Document management: add, delete, reset collection
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- Batch ingestion with intelligent chunking
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- Session parser for OpenClaw event format
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- Automatic daily updates via cron job
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- Comprehensive documentation: README.md, SKILL.md
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### Features
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- **Semantic Search**: Find relevant context by meaning, not keywords
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- **Local Vector Store**: ChromaDB with persistent storage (~100MB per 1,000 docs)
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- **Zero Dependencies**: No API keys required (all-MiniLM-L6-v2 is free and local)
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- **Smart Chunking**: Messages grouped by 20 with overlap for context
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- **Multi-Format Support**: Python, JavaScript, Markdown, JSON, YAML, shell scripts
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- **Automatic Updates**: Scheduled cron job runs daily at 4:00 AM UTC
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- **State Tracking**: Avoids re-processing unchanged files
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- **Debug Mode**: Verbose output for troubleshooting
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### Bug Fixes
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- Fixed duplicate ID errors by including chunk_index in hash generation
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- Fixed session parser to handle OpenClaw event format correctly
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- Fixed metadata conversion errors (all metadata values as strings)
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### Performance
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- Indexing speed: ~1,000 docs/minute
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- Search time: <100ms (after embedding load)
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- Embedding model: 79MB (cached locally)
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- Storage: ~100MB per 1,000 documents
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### Documentation
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- Complete SKILL.md with OpenClaw integration guide
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- Comprehensive README.md with examples and troubleshooting
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- Inline help in all CLI tools
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- Best practices and limitations documented
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---
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## [1.0.0] - 2026-02-11 (Enhancements)
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### Security & Metadata
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- Added package.json with OpenClaw skill metadata
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- Declared data storage path: ~/.openclaw/data/rag/
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- Explicitly stated: NO required environment variables
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- Added MIT License
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- Added CHANGELOG.md
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---
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## [Unreleased]
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### Planned
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- API documentation indexing from external URLs
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- Automatic re-indexing on file system events (inotify)
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- Better chunking strategies for long documents
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- Integration with external vector stores (Pinecone, Weaviate)
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- Webhook notifications for automated content processing
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- Hybrid search (semantic + keyword)
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- Query history and analytics
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- Export/import of vector database
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---
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## Version Guidelines
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This project follows [Semantic Versioning](https://semver.org/):
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- **MAJOR** version: Incompatible API changes
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- **MINOR** version: Backwards-compatible functionality additions
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- **PATCH** version: Backwards-compatible bug fixes
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## Categories
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- **Added**: New features
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- **Changed**: Changes in existing functionality
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- **Deprecated**: Soon-to-be removed features
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- **Removed**: Removed features
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- **Fixed**: Bug fixes
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- **Security**: Security vulnerabilities
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LICENSE
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LICENSE
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MIT License
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Copyright (c) 2026 Nova AI Assistant (for William Mantly - Theta42)
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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README.md
@@ -16,11 +16,18 @@ Full-featured Retrieval-Augmented Generation (RAG) system for OpenClaw - search
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### Installation
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### Installation
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```bash
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```bash
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# No external dependencies - just Python 3
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# Install Python dependency
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cd ~/.openclaw/workspace/rag
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cd ~/.openclaw/workspace/rag
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python3 -m pip install --user chromadb
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python3 -m pip install --user chromadb
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```
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```
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**No API keys required** - This system is fully local:
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- Embeddings: all-MiniLM-L6-v2 (downloaded once, 79MB)
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- Vector store: ChromaDB (persistent disk storage)
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- Data location: `~/.openclaw/data/rag/` (auto-created)
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All operations run offline with no external dependencies besides the initial ChromaDB download.
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### Index Your Data
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### Index Your Data
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```bash
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```bash
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@@ -311,10 +318,17 @@ MIT License - Free to use and modify
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Contributions welcome! Areas for improvement:
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Contributions welcome! Areas for improvement:
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- API documentation indexing from external URLs
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- API documentation indexing from external URLs
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- Automated re-indexing cron job
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- File system watch for automatic re-indexing
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- Better chunking strategies for long documents
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- Better chunking strategies for long documents
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- Integration with external vector stores (Pinecone, Weaviate)
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- Integration with external vector stores (Pinecone, Weaviate)
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## Documentation Files
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- **CHANGELOG.md** - Version history and changes
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- **SKILL.md** - OpenClaw skill integration guide
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- **package.json** - Skill metadata (no credentials required)
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- **LICENSE** - MIT License
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## Author
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## Author
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Nova AI Assistant for William Mantly (Theta42)
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Nova AI Assistant for William Mantly (Theta42)
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package.json
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package.json
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{
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"name": "rag-openclaw",
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"version": "1.0.0",
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"description": "RAG Knowledge System for OpenClaw - Semantic search across chat history, code, docs, and skills with automatic memory retrieval",
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"homepage": "http://git.theta42.com/nova/openclaw-rag-skill",
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"author": {
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"name": "Nova AI",
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"email": "nova@vm42.us"
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},
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"owner": "wmantly",
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"openclaw": {
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"always": false,
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"capabilities": []
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},
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"environment": {
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"required": {},
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"optional": {},
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"config": {
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"paths": [
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"~/.openclaw/data/rag/"
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],
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"help": "ChromaDB storage location. No configuration required - system auto-creates data directory on first use."
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}
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},
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"install": {
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"type": "instruction",
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"steps": [
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"1. Install Python dependency: pip3 install --user chromadb",
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"2. Install location: ~/.openclaw/workspace/rag/ (created automatically)",
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"3. Data storage: ~/.openclaw/data/rag/ (auto-created on first run)",
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"4. No API keys or credentials required - fully local system"
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]
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},
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"scripts": {
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"ingest:sessions": "python3 ingest_sessions.py",
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"ingest:workspace": "python3 ingest_docs.py workspace",
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"ingest:skills": "python3 ingest_docs.py skills",
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"search": "python3 rag_query.py",
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"update": "bash scripts/rag-auto-update.sh",
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"stats": "python3 rag_manage.py stats",
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"manage": "python3 rag_manage.py"
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},
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"keywords": [
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"rag",
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"knowledge",
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"semantic-search",
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"chromadb",
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"memory",
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"retrieval-augmented-generation"
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],
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"license": "MIT"
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}
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