NotShrirang/LoomRAG

🧠 Multimodal Retrieval-Augmented Generation that "weaves" together text and images seamlessly. 🪡

28
/ 100
Experimental

This tool helps you quickly find relevant information, including text, images, and audio, by searching across different types of content simultaneously. You can input a text question, an image, or an audio clip, and it will give you back relevant text, images, or even parts of PDFs. It's ideal for researchers, content creators, or anyone managing large collections of diverse digital assets who needs to retrieve information efficiently.

No commits in the last 6 months.

Use this if you need to search through a diverse collection of documents, images, and audio using natural language, an image, or an audio clip as your query.

Not ideal if your search needs are exclusively text-based or if you require highly precise, keyword-only matching without any semantic understanding.

information-retrieval digital-asset-management content-discovery research-tools multimedia-search
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

11

Forks

1

Language

Python

License

Apache-2.0

Last pushed

Mar 29, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/rag/NotShrirang/LoomRAG"

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