Preprocess — RAG Tool

What is Preprocess?

Preprocess is a document ingestion pipeline for RAG applications that intelligently chunks text from complex files. It converts documents into context-preserving segments, maintains the natural reading order, and extracts content from tables and images to help data scientists and AI developers build more accurate retrieval systems.

What sets Preprocess apart?

Preprocess stands apart with its high-fidelity table extraction system that preserves the meaning and relationships between data points in structured documents. This specialized approach to document chunking makes a meaningful difference for machine learning engineers who struggle with retrieval accuracy when working with spreadsheets, financial reports, and scientific publications. Preprocess allows teams to build RAG applications that answer questions from complex multi-format documents with greater precision than standard text splitters.

Preprocess Use Cases

• Document preprocessing for RAG
• Intelligent text chunking
• Document ingestion pipelines
• LLM context optimization