A 40K-star GitHub repo is challenging how we build RAG systems.
This is a dev post classified by AGK Intelligence as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
A 40K-star GitHub repo is challenging how we build RAG systems. It's called PageIndex, and it removes four familiar components from document retrieval: → Embedding models → Vector databases → Fixed-size chunking → Cosine similarity search Instead, it builds a hierarchical tree of the original document, preserving headings, sections, summaries, and page references. An LLM then navigates that tree to locate relevant information, much like an analyst working through a financial report. This matters because the passage most similar to your question isn't necessarily the one containing the answ
Posted by Sandhya (1.4k followers) 4 h ago · 0 likes · 57 views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: pageindex.
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