PDF QA Agent

Chat with PDFs at scale. Citations, sources, eval.

4.9 (11.200) 11.2k booked v2.0 · updated recently

Starting from$49

Final price depends on your requirements, integrations and timeline.

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Tailored to your stack · NDA available

Python

PDF QA Agent

v2.0 · MIT

Overview

PDF QA Agent is a document intelligence solution for teams that need conversational access to large volumes of PDF content. A full workflow for document ingestion, retrieval, citation-aware answer generation, and source-grounded interaction across reports, manuals, policies, contracts, research papers, and internal documentation. Useful for legal teams, research organizations, compliance departments, education products, support teams, and enterprise knowledge platforms.

Common use cases

Policy assistantsContract reviewKnowledge base searchInvestor researchTraining portalsAcademic readingDue diligence

What's inside

Tailored to your stack
Built around your chosen language, framework, providers and deployment target.
Production-ready patterns
Streaming, retries, observability and guardrails baked in for real traffic.
Multi-provider ready
Swap between OpenAI, Anthropic, Mistral, Azure or local models with one config.
Deployment recipes
Drop-in guides for Vercel, Fly.io, Cloudflare Workers, Docker and Kubernetes.
Docs, tests & example app
Comprehensive docs, integration tests and a reference app to learn from.
Priority implementation support
Direct help from the team that built it during integration and rollout.

Why developers love it

Fast

Streaming responses and low-latency patterns out of the box.

Readable

Idiomatic, well-commented code your team can own.

Safe

Input validation, retries and cost guardrails included.