2 个仓库
Awesome GitHub RepositoriesMultimodal Information Extractors
Engines designed to parse and structure information from mixed-media document formats.
Distinguishing note: Focuses on the parsing engine aspect of multimodal extraction, distinct from the broader extraction frameworks.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Multimodal Information Extractors. Refine with filters or upvote what's useful.
Awesome Multimodal Information Extractors GitHub Repositories
用 AI 发现最棒的仓库。我们将通过 AI 为您搜索最匹配的仓库。
- hkuds/lightrag
HKUDS/LightRAG
36,651在 GitHub 上查看LightRAG is a graph-based retrieval framework designed to build retrieval-augmented generation pipelines. It structures unstructured text into knowledge graphs, enabling multi-hop reasoning and complex query synthesis across large document collections. By integrating dense vector embeddings with structured knowledge graphs, the system facilitates both similarity-based and relationship-aware information retrieval. The framework distinguishes itself through a dual-level retrieval strategy that combines low-level keyword matching with high-level semantic graph traversal to capture both specific
A processing engine that parses both text and visual data from diverse document formats to build comprehensive searchable knowledge bases.
Pythongenaigptgpt-4 - codexu/note-gen
codexu/note-gen
12,173在 GitHub 上查看Note-gen is an artificial intelligence-assisted note-taking application and knowledge management tool designed for local-first data ownership. It functions as a workspace that leverages language models to organize, summarize, and synthesize personal notes into structured documents while maintaining offline accessibility. The platform distinguishes itself through a multimodal workflow orchestrator that chains sequences of tasks to process text, images, and external data. By integrating vision-language models, it extracts information from visual inputs like screenshots and documents, converting
Parses and structures information from screenshots and documents using vision-language models.
TypeScriptagentchatbotknowledge-base
