PageIndex Changelog
Nov 4, 2026
- PageIndex Flash on Cloud. PageIndex Flash now runs on Cloud. It indexes text-based PDFs at $0.001 per page, one tenth of Cloud's default indexing rate ($0.01 per page).
Oct 27, 2026
- Introducing Page Search API. Find the pages that answer a question in about a second, and send your LLM only those pages, not the whole document. It cuts token cost by 97%, and is more accurate and faster than vector search (benchmark).
Oct 23, 2026
- PageIndex Financial QA Benchmark. Compare the accuracy and query cost of LLMs answering questions about annual reports (Form 10-K) with PageIndex. Frontier models tested include Claude Opus 5.5, GPT-6.1 Sol and Gemini 4 Argon, as well as Kimi K3.1 Pro, Qwen3.8 Max and DeepSeek V4.1 Flash.
Oct 19, 2026
- Playground in Dashboard. Try different LLMs with PageIndex on your own documents, directly in your browser, and compare their answers and token costs. No code needed.
Oct 18, 2026
- Use PageIndex with your Claude subscription. Indexing and chat can now run through Claude Code, with LLM usage covered by your Claude subscription: no extra cost, no API key needed.
Oct 12, 2026
- Cheaper than vector RAG. Building a PageIndex tree locally with PageIndex Flash now costs less than a vector index. LLMs only write the node summaries, using
gpt-6-lunaby default.
Sep 21, 2026
- Cookbook. Runnable notebooks to start from — index a long PDF with PageIndex Flash, cite and highlight the source of an answer, retrieve document images, and estimate what a query costs. Open any of them in Colab.
Sep 16, 2026
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New usage billing. PageIndex Cloud now uses simple usage billing — $0.01 to index a page, $0.001 / month to keep it active with unlimited retrieval.
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Block-level citations. Cloud answers now cite the exact layout block rather than the page. Cloud documents indexed since September 13, 2026 carry blocks.
Aug 26, 2026
- Introducing PageIndex Flash. A fast engine that builds the PageIndex tree for long, text-based PDFs. It runs on your own machine: the tree's structure is computed from the PDF layout without an LLM, and an LLM only writes the node summaries. Available now in the PageIndex SDK.