Preprocess

Chunking heavily impacts the performance of your retrieval when dealing with LLMs. Preprocess split documents into optimal chunks of text. We split PDF and Office files based on the original document structure and content semantics.

Preprocess enhances Retrieval-Augmented Generation (RAG) performance by optimizing document chunking for large language models (LLMs). It intelligently splits PDF and Office files into optimal text segments based on document structure and content semantics, ensuring efficient retrieval and processing. By handling the complexities of preprocessing, Preprocess allows users to focus on their core tasks, streamlining the ingestion pipeline for improved RAG outcomes. With a user-friendly interface and free access, it simplifies the preparation of complex documents, making it an essential tool for maximizing LLM performance.