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its-amann/Multimodal-RAG-Retrieval-Augmented-Generation-System

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This project implements a sophisticated Multimodal Retrieval Augmented Generation (RAG) system that processes both video and text data. The system is designed to analyze video content, extract frames, generate transcripts, and perform semantic search across multiple modalities (text and images).

active 2025-02-02 → 2025-02-25 (UTC)

Complete coverage28,051 / 28,051 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-26 (UTC)
Events
4
Pushes
2
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 24 days from 2025-02-02 to 2025-02-25. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
its-amann2200

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No issue or PR events — this repo's activity is pushes only.

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.