microsoft/Document-Knowledge-Mining-Solution-Accelerator

Programmatically extract data and apply schemas to unstructured documents across text-based and multi-modal content using Azure AI Foundry, Azure OpenAI, Azure AI Content Understanding, and Cosmos DB.

Sample site for Document Intelligence code samples and associated media.

The open document intelligence platform for builders and hackers - DMS for the agentic world

Extract structured data and insights from documents using LLMs and decision models

NeMo Retriever Library is a scalable, performance-oriented document content and metadata extraction microservice. NeMo Retriever Library uses specialized NVIDIA NIM microservices to find, contextualize, and extract text, tables, charts and images that you can use in downstream generative applications.

Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM

Ever needed to take 8000 PDFs, 2000 videos, and 500 spreadsheets and feed them to an LLM as a knowledge base? Well, mmore is here to help you! mmore is a scalable multimodal pipeline for processing, indexing, and querying multimodal documents

An open-source RAG-based tool for chatting with your documents.