Skip to content
Agentmart
Submit a tool

PaperQA2

Retrieval augmented generation package that answers questions from scientific papers and documents with citations.

Agent by FutureHouse

IndexedApache-2.0★ 9,461
Write a review

Chalk Labs

Need help deploying PaperQA2?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

From the package registry. Read the repository before you give any tool access to your data.

pip install paper-qa

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

PaperQA2 is a Python package for retrieval augmented generation over PDFs, text files, Office documents and source code, with a focus on scientific literature. It can be run as the pqa ask command or used as a library, and it supports locally hosted and embedding models. The README example answers a question with citations to specific papers and page ranges.

Use cases: research, knowledge-base, deep-research

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Fact sheet

Jobs
researchREADME
Where you use it
Terminal, APIREADME
Hosting
You run itREADME
Interfaces
sdkREADME
Open source
YesREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Signals

Stars
9,461
Forks
946
Open issues
133
Weekly downloads
30,728
Last commit
Aug 12, 2026 (2 months ago)
Last release
Aug 12, 2026 (2 months ago)
Last package publish
Aug 12, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Packages
pypi paper-qa
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get PaperQA2 running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying PaperQA2?

CallGet help
Cite this page

PaperQA2. Agent Mart. https://agentmart.dev/agents/paperqa2 (last updated 2026-10-24)