# Alibaba-NLP/OmniSearch

<https://repo.masters-masters.com/en/repos/Alibaba-NLP/OmniSearch>

[Home](https://repo.masters-masters.com/en) › [Alibaba-NLP](https://repo.masters-masters.com/en/owners/Alibaba-NLP) › [OmniSearch](https://repo.masters-masters.com/en/repos/Alibaba-NLP/OmniSearch)

Alibaba-NLP/OmniSearch has 431 stars on GitHub. Its RepoMasters card: Alpha tier. Repo for Benchmarking Multimodal Retrieval Augmented Generation with Dynamic…

| Field | Value |
| --- | --- |
| Owner | [Alibaba-NLP](https://repo.masters-masters.com/en/owners/Alibaba-NLP) |
| Stars | 431 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [Alibaba-NLP/OmniSearch](https://github.com/Alibaba-NLP/OmniSearch) |

## Repository

Repo for Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.