Introduction
AutoRAG is a toolkit for rapidly building RAG pipelines, automating document indexing, retrieval, and integration with generative models.
Key Features
- Automated document processing and vector index construction.
- Compatible with multiple generative models and vector databases.
Use Cases
- Rapid prototyping and production deployment of Retrieval-Augmented Generation (RAG) systems.
Technical Highlights
- Provides configurable indexing and retrieval strategies to suit different data scales and latency requirements.