A vectorless RAG pipeline that navigates PDF documents using a PageIndex tree structure and Gemini 2.0 Flash — no vector database, just LLM-guided tree search with auto-cited answers.
-
Updated
Apr 22, 2026 - Jupyter Notebook
A vectorless RAG pipeline that navigates PDF documents using a PageIndex tree structure and Gemini 2.0 Flash — no vector database, just LLM-guided tree search with auto-cited answers.
SILK: Symbolic Index for LLM Knowledge — Neuro-symbolic search with 64-bit integers. No vector DB, no embeddings.
Add a description, image, and links to the no-vector-db topic page so that developers can more easily learn about it.
To associate your repository with the no-vector-db topic, visit your repo's landing page and select "manage topics."