Bookwyrm Logo  RAG for Unstructured Data

Wish you didn't spend so long extracting data from PDFs?

BookWyrm helps developers instantly transform messy PDFs and unstructured documents into clean, AI-ready data.

Build powerful agents and workflows, at lightspeed, that enhance business processes without the soul-crushing prep work.

Fast to set up, easy to extend, built for developers.

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The data pre-processing problem solver

BookWyrm is the Python SDK & API built to automate the complex, time-consuming tasks that hold up your projects. We handle the dirty work, so you can focus on rolling out agents with impact.

PDF text extraction hell

Flawless PDF-to-text conversion: Stop fighting with broken formatting, missing paragraphs, and jumbled data. No need to set up an expensive GPU machine for your workflow or deal with endless edge-cases.

BookWyrm's pdf extractor provides high-quality, non-messy text extraction from any PDF, delivering the clean input your AI demands.

Hallucination and unreliability

Built-in citation for grounded AI: Introducing the Cite endpoint, your secret weapon against AI hallucination.

Every response is traceable and accountable, allowing your Agents to pull the exact source context it used to form the answer. Ensure every answer is trustworthy, traceable, and grounded in your documentation.

Constant RAG iteration & pipeline maintenance

Your shortcut to scalable RAG: Automate complex tasks like phrasal chunking, summarization, and classification.

Remove the need to constantly iterate your RAG setup, research models, and maintain brittle pipelines. Free your team from labor-intensive and unfulfilling data tasks.

Build agents that users trust. BookWyrm's citation endpoint provides answers grounded with reasoning and citations.

bookwyrm cite "who are the main antagonists?" data/dr_jekyll_and_mr_hyde.jsonl
...
  {
    "start_chunk": 40,
    "end_chunk": 40,
    "text": "Well, sir, the two ran into one another naturally enough at the corner; and then came the horrible part of the thing; for the man trampled calmly over the child’s body and left her screaming on the ground.",
    "reasoning": "This chunk directly identifies the man who trampled the child as the antagonist of the story.",
    "quality": 4
  }  
  ...