RAG Server FAQs

Question 1

What is RAG Server?

Accepted Answer

RAG Server is a comprehensive Retrieval-Augmented Generation (RAG) server designed to equip AI agents with robust file management and dedicated vector memory capabilities.

Question 2

What file formats does RAG Server support for document management?

Accepted Answer

It supports a wide range of document types, including PDF, DOCX, TXT, MD, CSV, and JSON, allowing for versatile content integration into your RAG system.

Question 3

How does RAG Server enhance AI agent performance?

Accepted Answer

RAG Server empowers AI agents with persistent vector memory for storing important information and facilitates semantic search across managed documents using Hugging Face embeddings, improving context and relevance.

Question 4

What technology is used for vector storage and semantic search?

Accepted Answer

RAG Server uses Hugging Face embeddings for advanced semantic search and leverages local ChromaDB for efficient, on-premise storage of vectors and associated metadata.

Question 5

Is there a command-line interface (CLI) for RAG Server maintenance?

Accepted Answer

Yes, RAG Server includes a comprehensive CLI for system maintenance, enabling users to easily add/remove files, manage agent memory, perform searches, and view system statistics.

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