Folder file system
Keep your documents in a familiar folder structure.
- Research
- Acme
- Annual report.pdf
- Q4 earnings.pdf
- Investor letter.pdf
- Market reports
Vectorless RAG for long, complex documents — accurate, traceable, context-aware, and cost efficient.
PageIndex Agent will generate and understand your document’s tree structure, so it reads the relevant sections and keeps token costs low.
With Page Search, PageIndex Agent quickly locates relevant pages and gets to the answer sooner.
Organize documents in folders, or bring them together in collections with metadata.
Understand charts, tables, and page layouts. See the evidence directly on the PDF, with the relevant region outlined.
Read beyond the text
Connect an answer to the diagram or table it comes from. Visual citations point to the specific region on the original page.
Select a citation to highlight its source.
Bring your preferred LLM. PageIndex handles retrieval, so you can choose the balance of accuracy and cost that works for you — and switch models as your needs grow.
PageIndex gives LLMs a persistent structure to retrieve only the information they need.
vs Vector RAG
Answer accuracy
Cost per 1,000 queries
63 questions on NVIDIA's 10-Ks, six embedding models at top-k 10 to 100. Every system answers with the same model and is graded against reference answers.
The same SDK runs on your laptop, on our cloud, or inside your own private cloud.
Open source, on your machine, with your own model key.
Managed indexing, storage, and retrieval. Nothing to run.
All of Cloud, deployed in your own private cloud.
Local stays free and open source. Start with $10 in free Cloud credits. No minimum monthly cost.
$10in free credits