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Multimodal-retrieval-agent MCP Server

naresh-mahiya/Multimodal-retrieval-agent

Score: 38.4 Rank #14813 Search & RAG
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Image RAG for fine-grained fashion retrieval. Encodes queries with multimodal embeddings (FashionSigLIP + DINOv2 + LAB colour) into a Qdrant vector index, then runs two-stage ANN recall → cross-signal reranking, exposed as an agentic tool.

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Overview

naresh-mahiya/Multimodal-retrieval-agent is a Python agent tool. Image RAG for fine-grained fashion retrieval. Encodes queries with multimodal embeddings (FashionSigLIP + DINOv2 + LAB colour) into a Qdrant vector index, then runs two-stage ANN recall → cross-signal reranking, exposed as an agentic tool.

Ranked #14813 out of 24850 indexed tools.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 42 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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AgentRank score for naresh-mahiya/Multimodal-retrieval-agent
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