2501.05874
arxiv.org · 6,170 words · saved by 1 readers
N/A
VideoRAG: Retrieval-Augmented Generation over Video Corpus Soyeong Jeong1∗ Kangsan Kim1∗ Jinheon Baek1∗ Sung Ju Hwang1,2 KAIST1 DeepAuto.ai2 {starsuzi, kksan07, jinheon.baek, sungju.hwang}@kaist.ac.kr Abstract (A) Textual RAG…
saved by
related reading
- TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answeringarxiv.org
- Code a simple RAG from scratchhuggingface.co
- [2005.11401] Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasksarxiv.org
- Patterns for Building LLM-based Systems & Productseugeneyan.com
- What is Retrieval Augmented Generation (RAG)? | Databricksdatabricks.com
- Creating In-Video Search - DEV Communitydev.to
- Better RAG 3: The text is your friendolickel.com
- Advanced Retriever Techniques to Improve Your RAGs | Towards Data Sciencetowardsdatascience.com
- Retrieval Augmented Generation Research: 2017-2024scalingknowledge.substack.com
- Retrieval-augmented generation - Wikipediaen.wikipedia.org
- Retrieval-Augmented Generation for Large Language Models: A Surveyarxiv.org
- Retrieval Augmented Generation: Streamlining the creation of intelligent natural language processing modelsai.facebook.com