Nicheloom

Market intelligence for builders — see what's gaining traction before it's crowded.

genpark-semantic-chunk-hierarchy-re-ranker-skill

Hierarchical semantic chunk re-ranker evaluating hybrid keyword and dense relevance scores for agentic RAG

Details

External ID
1389560506
Source
GITHUB
Company
—
Product
genpark-semantic-chunk-hierarchy-re-ranker-skill
Website domain
genpark.ai
Launched
Sept. 26, 2026
Cohort
—
Upvotes
7
Upvotes percentile
0.05976172175249808
Tags
agent-skills, ai-agent, continual-learning, episodic-memory, graphrag, long-term-memory, mcp, mcp-server, model-context-protocol, python, zero-dependency
Fetched at
Sept. 27, 2026, 1:02 a.m.
Updated at
Sept. 27, 2026, 1:02 a.m.

Enrichment

Theme
modular ai agent skills and toolkits
Vertical
Horizontal
Function
Search & retrieval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
hierarchical semantic chunk reranker for rag pipelines
Manually corrected
False

Could you build this?

Yes A hybrid search re-ranker combining BM25 keyword matching and vector dense embeddings with hierarchical chunk metadata can be easily vibe-coded using standard Python libraries like Rank-BM25 and Cohere/CrossEncoder APIs.

Competitors

Other products that read as similar to this one — 1390 launches clear the similarity bar, closest 8 shown.

Attention rank: #1226 of 1391 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 331 days after the earliest competitor.

Other launches for this product