PageIndex

@PageIndexAI

The document retrieval layer for AI

London

Pinned
PageIndex
@PageIndexAI
Oct 27
🚀 Introducing Page Search API. Cut your PDF token costs by up to 97%. Stop sending entire PDFs to your LLM. Page Search API finds the pages that answer your questions—including charts, tables, and scans. Send only the relevant pages! Try it now: search.pageindex.ai
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PageIndex
@PageIndexAI
10h
Jev for RAG? How does the decision model's retrieval performance compare to the top Vector-based model? We announce the Page Search API, faster and more accurate than SOTA embedding models. Learn more: search.pageindex.ai
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PageIndex
@PageIndexAI
Oct 30
Give your agent the Page Search toolkit. More accurate document answers. Faster responses. Lower cost. Your agent finds the right documents, then the right pages, then reads them, and cites the page. Works with Claude and OpenAI Agents SDK. search.pageindex.ai/docs/agents
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PageIndex
@PageIndexAI
Oct 29
Page Search is the first document RAG API powered by decision models. It can now search a collection of documents, find the relevant pages, and send only those pages to your LLM, cutting your token costs by 97%. Faster and more accurate than any vector-search RAGs. Try it now:
PageIndex
@PageIndexAI
Oct 27
Congratulations to @OpenAI on the launch of GPT-6.1 Terra! 🚀 Amazing performance! GPT-6.1 Terra joins the accuracy–cost frontier in our PageIndex Financial QA Benchmark. At max reasoning, it hits 96.3% accuracy, just 2.4 percentage points behind Claude Opus 5.5 (max), at about
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