PageIndex gives you accurate, trustworthy answers across long, professional documents your work depends on. Bring in your entire document set, ask your hardest question, and click any citation to jump to the exact highlighted source line, so you can verify it in seconds.
PageIndex lets you ask across your entire document set and verify every answer down to the source line. If you work with long and professional documents where accuracy and traceability matter, financial reports, legal contracts, textbooks, research papers, etc. and you can't afford to trust an answer you haven't checked, this is for you.
✍️ Here's how it works:
Drop in your entire folder. Folder structure is preserved, and everything you add stays in your knowledge base, so you build it once instead of re-uploading the same files into every new chat.
Ask your hardest question across all of it. Ask the one you actually need: a number buried in an appendix, a clause that only makes sense with the definition twelve pages back, a figure that has to be pulled from a table and compared across four files. PageIndex goes and gets all of it.
Verify answers in one click. Every answer comes with micro-citations. Click one and the source document opens beside your chat at the right page, highlighted at the exact line the number came from.
Why you want PageIndex:
Checking a number takes one click instead of an afternoon of opening PDFs
One question runs across hundreds of documents, not one file per chat
Tables and charts are read in context
Your library compounds each quarter instead of starting from an empty chat
Leading accuracy on FinanceBench. 30K+ people use it, and the retrieval engine underneath has 35K+ GitHub stars and hit #1 on GitHub Trending.
🎉 Launch offer: code PRODUCTHUNT gets you one month of Pro free.
the one click jump back to the exact source line is the killer peice 🙌 nice work
Interesting. Curious how is this different than SciSpace, SciSummary, Jenni, Elicit, etc?
Super useful tool. Congrats Mingtian and team. Does PageIndex tell me which version it pulled from? Data rooms I read usually have the same number living in three versions of the same file - original, amended, restated.
Great use case at the core of the project! I often check contracts with ChatGPT the same way when I need to quickly find payment terms or deadlines.
Congrats on the launch! Being able to actually verify an answer instead of just trusting it is the real unlock here, most doc AI tools skip that part entirely. Upvoted 🚀
can you suggest how pageindex is better than chatgpt or claude code. what makes pageindex better?
Looks pretty scientific :) Do you collaborate with some universities and research centres? :)
Congrats on launching PageIndex! Verifying answers with clickable citations solves a real pain point. How do you handle documents with scanned or image based pages?
Asked three follow-up questions in a row and it kept the context each time without me re-explaining anything.
Hi PH, Ray here, co-founder and CTO of PageIndex.
I did my PhD in databases at Oxford. Years spent on indexing, and I was firmly on the side of vector databases.
I've changed my mind about them being the right infrastructure for retrieval in AI systems. I want to be precise, because the claim is not "vectors are dead".
An index is defined by the one question it can answer. A vector index answers: which chunks look most like this query?
Right question for broad recall over messy, conversational text. Vectors will keep doing that job well.
Wrong question for a long, professional document.
Two reasons it breaks down there:
The passage you need may share almost no wording with how you asked for it.
The answer often sits behind a cross-reference like "see Appendix G". No amount of similarity gets you through that pointer.
So we index the structure instead of the surface.
The document's tree sits inside the model's reasoning context.
It decides where to look next, not what looks similar.
Retrieval becomes navigation. Navigation leaves a path, which is why every answer can point back at the source line.
If you want to stress-test it: upload the longest and most complex document you own, then tell me what happens. Bug reports are worth more to me today than upvotes.
The document should always be the source of truth. I like that AI is supporting the reading process instead of replacing it.
Congrats! Avoiding embeddings is an ambitious architectural choice. I'm especially curious whether this makes the results more interpretable, since each search decision could potentially be traced through the document tree.
Can I share a single answer with its citations as a link, so a colleague can see the sources without an account?
About PageIndex on Product Hunt
“Accurate, trustworthy answers across professional documents”
PageIndex launched on Product Hunt on August 28th, 2026 and earned 355 upvotes and 46 comments, earning #1 Product of the Day. PageIndex gives you accurate, trustworthy answers across long, professional documents your work depends on. Bring in your entire document set, ask your hardest question, and click any citation to jump to the exact highlighted source line, so you can verify it in seconds.
PageIndex was featured in Productivity (659.5k followers) and Artificial Intelligence (477.3k followers) on Product Hunt. Together, these topics include over 273.9k products, making this a competitive space to launch in.
Who hunted PageIndex?
PageIndex was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how PageIndex stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Chris Messina
Hey Product Hunt 👋
I'm Mingtian, co-founder of PageIndex.
PageIndex lets you ask across your entire document set and verify every answer down to the source line. If you work with long and professional documents where accuracy and traceability matter, financial reports, legal contracts, textbooks, research papers, etc. and you can't afford to trust an answer you haven't checked, this is for you.
✍️ Here's how it works:
Drop in your entire folder. Folder structure is preserved, and everything you add stays in your knowledge base, so you build it once instead of re-uploading the same files into every new chat.
Ask your hardest question across all of it. Ask the one you actually need: a number buried in an appendix, a clause that only makes sense with the definition twelve pages back, a figure that has to be pulled from a table and compared across four files. PageIndex goes and gets all of it.
Verify answers in one click. Every answer comes with micro-citations. Click one and the source document opens beside your chat at the right page, highlighted at the exact line the number came from.
Why you want PageIndex:
Checking a number takes one click instead of an afternoon of opening PDFs
One question runs across hundreds of documents, not one file per chat
Tables and charts are read in context
Your library compounds each quarter instead of starting from an empty chat
Leading accuracy on FinanceBench. 30K+ people use it, and the retrieval engine underneath has 35K+ GitHub stars and hit #1 on GitHub Trending.
🎉 Launch offer: code PRODUCTHUNT gets you one month of Pro free.
👉 app.pageindex.ai
Thanks for checking us out. I'll be here all day.