PageIndex @PageIndexAI
Building Vectorless Long-Context AI Infra pageindex.ai London Joined June 2023-
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@snaga We are rolling out a super fast indexing method that doesn't use LLMs very soon (in the coming week). Will keep you posted.
@Marco_Ramilli Thanks for sharing Pageindex and our vision on vectorless, reasoning-based RAG! github.com/VectifyAI/Page…
@snaga please check out our recent blog post on PageIndex File System: pageindex.ai/blog/pageindex…
@byte_ua @ConsciousRide Please check out how we find relevant documents before using single-doc PageIndex: pageindex.ai/blog/pageindex…
@SakshiSugandhi @ConsciousRide We have a tree-based solution for massive-scale document search as well: pageindex.ai/blog/pageindex…
@suryanox7 @ConsciousRide For retrieval breadth, please check out our latest blog post on PageIndex's approach to document-level retrieval: pageindex.ai/blog/pageindex…
@Its_Nova1012 @ConsciousRide Please check out our latest blog post on scaling PageIndex to millions of documents: pageindex.ai/blog/pageindex…
@gautamdhameja @ConsciousRide Please check out our latest blog post on scaling PageIndex to multi-document retrieval: pageindex.ai/blog/pageindex…
@ConsciousRide Please see our latest blog on scaling PageIndex to massive document collections: pageindex.ai/blog/pageindex… GitHub: github.com/VectifyAI/Page…
PageIndex seems to be able to become an industry standard index method in the AI era, which is similar position as B-tree earned in the RDBMS era. Standing on the shoulders of giants is the right way to build something new.
📢 New feature in PageIndex Chat: Team Spaces 👥 Create a shared workspace where your team can sync documents, chat with the same knowledge base, and manage access in one place. #PageIndex #NewFeature #RAG
@AI_WithExpert You can also check out OpenKB: Open LLM Knowledge Base. It lets your sources accumulate and cross-link across sessions, instead of getting re-pasted into a new notebook each time. github.com/VectifyAI/Open…
Cool workflow, but it's still one-shot per session. The next missing piece is persistence — the sources you upload today don't make tomorrow's query smarter. Stacks that actually compound (a Markdown vault that updates itself) feel like the next step beyond NotebookLM-style one-offs. github.com/VectifyAI/Open…
@sundarpichai Check out Alphabet’s biggest strategic advantage in this deck here: chat.pageindex.ai/share/chat/cmp…
@claudeai Linear context doesn't scale. Hierarchical context does. Dynamic workflows are proving this for agents; while PageIndex is proving it for retrieval. The future isn't infinite context. It's agentic, adaptive context trees. github.com/VectifyAI/Page…
@_catwu Linear context doesn’t scale. Hierarchical context does. Dynamic workflows are showing the way for agents. PageIndex is proving the same for retrieval. The future isn’t infinite context. It’s agentic, adaptive context trees. github.com/VectifyAI/Page…
@bcherny Linear context doesn't scale. Hierarchical context does. Dynamic workflows are showing it for agents, while PageIndex is proving it for retrieval. The future isn't infinite context. It's agentic, adaptive context trees. github.com/VectifyAI/Page…
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