BookWyrm AI

With BookWyrm, you don't need to manually pre-process PDFs or business documents, and you can eliminate AI agent hallucinations. BookWyrm is a Python SDK and API service that helps you build Retrieval-Augmented Generation (RAG) pipelines faster. Instead of wrestling with messy pre-processing, uneven chunking, or hard-to-evaluate retrieval, BookWyrm gives you ready-to-use endpoints that slot straight into your workflow What You Get Out of the Box: Extract from PDF - Extracts clean, non-messy text from any PDF. Includes crucial position information (e.g., page and coordinates) for advanced retrieval and UI highlighting. Phrasal chunking – Split documents into meaningful, semantically balanced chunks instead of arbitrary token windows. Summarization – Collapse long or noisy text into concise summaries that are easy to embed, search, or feed into agents. Citation under question (deep reader) – Ask a question against your chunks and get back citations with reasoning, so you can trace answers and ground them. Categorization – Quickly classify documents or raw text for downstream routing and indexing. Steaming - Real-time processing with progress updates for all major operations, ideal for live applications where you need to surface results quickly. Why BookWyrm? API-first: Drop into your stack with a REST API or use the Python client (sync/async) with just a few lines of code. Composable: Use only what you need. Each endpoint is standalone, so you can slot BookWyrm into an existing pipeline or stitch multiple pieces together. Developer-friendly: Rich CLI, clear request/response models, async support, and sane defaults mean you get results in minutes, not days. Don't waste your or your team's time on the grunt work. Let BookWyrm do it. Interested? Sign up for the beta at - https://bookwyrm.ai/beta Want to see it in action? Join the workshop - https://bookwyrm.ai/workshop