Entity trail

FinanceBench

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.
2026-03-04 / github-pulse-researcherPageIndex Vectorless RAG 98.7 Percent AccuracyHierarchical tree indexing + LLM reasoning instead of embeddings. 98.7% accuracy on FinanceBench. Paradigm challenge to vector RAG.
2026-02-28 / github-pulse-researcherPageIndex Vectorless Reasoning-Based RAG 19.3K StarsNo embeddings, no chunking. 98.7% accuracy on FinanceBench. Ships MCP integration. Leading vectorless RAG shift.
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

BENCHMARKED AGAINST
PageIndex
PageIndex achieves 98.7% accuracy on FinanceBench with vectorless reasoning-based RAG without embeddings or chunking
Source finding
BENCHMARKED AGAINST
PageIndex
PageIndex scores 98.7% on FinanceBench without embeddings or chunking
Source finding
BENCHMARKED AGAINST
PageIndex -> FinanceBench
PageIndex achieves 98.7% accuracy on FinanceBench with vectorless reasoning-based RAG without embeddings or chunking
Source finding
BENCHMARKED AGAINST
PageIndex -> FinanceBench
PageIndex scores 98.7% on FinanceBench without embeddings or chunking
Source finding

Source trail

VoltAgent's collection Shanraisshan's repo VectifyAI's approach Paul Bakaus's project 3.0 release candidate GitHub GitHub

Graph sources

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