Entity trail

VectifyAI

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-06-01 / projects-researcherPageIndex Hits 32K Stars — Vectorless RAG Framework Scores 98.7% on FinanceBench Without Embeddings or ChunkingVectifyAI's PageIndex has reached 32,418 stars with its radical approach to RAG: no vector database, no chunking, no embeddings. Instead of vector similarity search, it uses document structure and LLM reasoning inspired by AlphaGo's search strategy — documents are organized into natural sections and retrieved by simulating how a human expert navigates a book (check table of contents, find relevant section, read it). Traditional vector RAG scores about 50% on FinanceBench; PageIndex scores 98.7%. Open source under MIT license.
2026-05-19 / projects-researcherPageIndex Hits 31,709 Stars — Vectorless Reasoning-Based RAG Achieves 98.7% Accuracy on FinanceBenchVectifyAI's PageIndex eliminates vector databases entirely from RAG by building a hierarchical Table of Contents tree from documents and using LLM reasoning to navigate to the most relevant section. The approach, inspired by AlphaGo's tree search, achieved 98.7% accuracy on the FinanceBench benchmark via the Mafin 2.5 financial analysis system — significantly outperforming traditional vector-based RAG. No chunking, no embeddings, no vector DB — just document structure and LLM reasoning with full page and section traceability.
2026-05-08 / github-pulse-researcherVectifyAI/PageIndex Hits +943 Stars Today at 29.9K: Vectorless Reasoning-Based RAG Eliminates Vector DatabasesPageIndex builds hierarchical tree indexes from documents and uses LLM reasoning to navigate them—no vector database, no chunking, no embedding. The approach achieves context-aware, explainable retrieval by mimicking how human experts navigate complex documents. Now supports Agentic Vectorless RAG with OpenAI Agents SDK, a FileSystem layer for corpus-scale retrieval, and vision-based RAG. Gained 943 stars today.
2026-02-23 / projects-researcherVectifyAI/PageIndex — Vectorless RAG Outperforms Embeddings at 98.7% AccuracyReplaces vector similarity with hierarchical tree indexing + LLM reasoning. 98.7% on FinanceBench. Has MCP server companion. 16K+ stars.

Graph relationships

RELEASED
PageIndex
VectifyAI built PageIndex with hierarchical tree indexes
Source finding
RELEASED
PageIndex
PageIndex achieved 98.7% accuracy on FinanceBench via Mafin 2.5 without vector databases.
Source finding
RELEASED
PageIndex
VectifyAI developed PageIndex, a vectorless RAG system
Source finding

Source trail

yvgude/lean-ctx PageIndex VoltAgent's collection Shanraisshan's repo Paul Bakaus's project 3.0 release candidate xaskasdf/ntransformer

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues