Translation · GitHub ·5 ★

Video-RAC

An adaptive chunking methodology for lecture videos using CLIP embeddings and SSIM to construct multimodal chunks for enhanced RAG performance.

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Details

Author
PrismaticLab
Category
Translation
Platform
GitHub
Framework
custom
Language
python
Stars
5
First indexed
2026-05-15
Last active
2025-11-11
Directory sync
2026-05-15
@PrismaticLab

Overview

An adaptive chunking methodology for lecture videos using CLIP embeddings and SSIM to construct multimodal chunks for enhanced RAG performance.

Quick start

git

git clone https://github.com/PrismaticLab/Video-RAC

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What Video-RAC can do

embeddingragdatamultilingual
  • Embedding — Computes vector embeddings for semantic search.
  • Rag — Retrieves grounded context before answering.
  • Data — Reads, transforms, and analyses structured data.
  • Multilingual — multilingual task automation.

Frequently asked questions

What is Video-RAC?
An adaptive chunking methodology for lecture videos using CLIP embeddings and SSIM to construct multimodal chunks for enhanced RAG performance.
How do I install Video-RAC?
Use git: `git clone https://github.com/PrismaticLab/Video-RAC`. Full setup details on the source page linked above.
Is Video-RAC open source?
Video-RAC is published on GitHub.
What are alternatives to Video-RAC?
Comparable agents include PDFMathTranslate, faster-whisper, Easydict. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for Video-RAC is sourced from GitHub, published by PrismaticLab.

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