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Rag on Rails - Turnkey RAG AI System

A simple, ready-to-use Retrieval-Augmented Generation (RAG) platform for any kind of document collections—no frills, just results.

File Upload & Metadata

Upload any type of document with basic metadata like collection and tags. No complex setup—ready for immediate indexing and search.

Automated Processing & Indexing

Files are automatically processed and indexed for search. Retrieval and summary chunks are generated for fast, accurate query results—no manual work required.

AI Assistant & RAG Responses

Ask natural language questions and get instant answers. Top results are reranked and summarized with traceable references—basic RAG, ready to use immediately.

File Search & Fetch

Quickly retrieve documents or file segments using the fetch agent. Simple interface for accessing indexed content and summaries—works out-of-the-box for any collection.

Automated Pipeline (Coming Soon)

Future support for continuous ingestion and processing of new documents. Will make the system even more turnkey, fully hands-off for ongoing collections.

Metadata & Access Control

Access and visibility are managed by document collections and metadata. Simple role-based permissions ensure the right users see the right content—no complicated setup required.

Example System Workflow

Step 1: Create document collections and upload files with metadata.
Step 2: Automated processing and indexing create chunks, organized by collection.
Step 3: Simple file search & fetch lets users retrieve content immediately from the selected collection.
Step 4: Ask natural language queries—AI assistant provides concise, context-rich answers.
Step 5: Metadata and access control ensure proper visibility and secure usage per collection.
Step 6: (Future) Automated pipeline enables hands-free ingestion and processing.
Note: Ready to use as-is for any document collection—no frills, just a basic, functional RAG system.

Rag On Rails - System Whitepaper

Overview of the turnkey RAG system, features, and workflow.

Download Whitepaper

How we do it - RAG Indexing & Search Whitepaper

Detailed explanation of document processing, chunking, semantic and keyword search.

Download Whitepaper