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Machine forms: JSON · Markdown
[ Component ]
PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.
Interface
mcpModel Context Protocol server
[ Observed sample ]
The count is distinct observed stacks. It is not a Score input.
This component is not in Leyline's observed sample.
Record cmp_pageindex
[ Score explain ]
Score v2 uses only observed signals. The displayed contribution is weight × value × 100. Missing factors are insufficient evidence.
Score factor
GitHub health18% weight. A licence is declared. Documentation is available.
Value 0.30 · 5.4 points
18% weight × 0.30 value
A licence is declared. Documentation is available.
Score factor
Agent use16% weight. insufficient evidence
insufficient evidence
insufficient evidence
insufficient evidence
Score factor
Human notes14% weight. insufficient evidence
insufficient evidence
insufficient evidence
insufficient evidence
Score factor
Composability16% weight. insufficient evidence
insufficient evidence
insufficient evidence
insufficient evidence
Score factor
Checklist10% weight. An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.
Value 0.33 · 3.3 points
10% weight × 0.33 value
An MCP surface is declared. No API is declared. Cost is unknown. 1 of 3 checklist fields are complete.
Score factor
Evidence quality14% weight. 2 sources cover 1 evidence types. The latest dated evidence is 2026-09-29. Freshness is omitted unless observed as a signal.
Value 0.23 · 3.2 points
14% weight × 0.23 value
2 sources cover 1 evidence types. The latest dated evidence is 2026-09-29. Freshness is omitted unless observed as a signal.
Score factor
Benchmarks12% weight. insufficient evidence
insufficient evidence
insufficient evidence
insufficient evidence
Agent use: insufficient evidence
Human notes: insufficient evidence
Composability: insufficient evidence
Benchmarks: insufficient evidence
[ Claims ]
Claims are what the publisher declares. Score uses observed signals, not these assertions, except for checklist fields derived from interfaces. MCP, API, cost, and license claims are marked verified, unverified, or contradicted from intake evidence.
Interface
mcpModel Context Protocol server
[ Capability slices ]
PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.
PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.
PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.
PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.
PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.
[ Relations ]
[ Signals ]
Each signal carries source, method, and observedAt. Unobserved metrics stay insufficient evidence.
No social source is stored.
[ Notes ]
No notes are stored.
