关于
This robust RAG server empowers AI agents by offering advanced retrieval capabilities for various document types. It integrates comprehensive file management for adding, removing, and searching documents in formats like PDF, DOCX, TXT, MD, CSV, and JSON. A dedicated vector memory system allows agents to store and retrieve important information for future use. Leveraging Hugging Face embeddings and a local ChromaDB, it enables sophisticated semantic search, making it an ideal backend for AI applications requiring contextual awareness and dynamic knowledge retrieval. The server also includes a powerful command-line interface (CLI) for system maintenance and management.
主要功能
- Comprehensive Document Management (PDF, DOCX, TXT, MD, CSV, JSON)
- Dedicated Vector Memory for AI Agents
- Semantic Search using Hugging Face Embeddings
- Local ChromaDB for Efficient Vector Storage
- Command-Line Interface (CLI) for System Maintenance
- 0 GitHub stars
使用案例
- Building AI agents with external and persistent knowledge bases
- Enhancing AI models with contextual information from various document collections
- Creating intelligent search systems for large document archives
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