unstructured-io

Collection of PDF parsing libraries like AI based docling, claude, openai, gemini, meta's llama-vision, unstructured-io, and pdfminer, pymupdf, pdfplumber etc for efficient snapshot, text, table, and metadata extraction.

This is a collection of various document parsers and hands-on to construct structured data for your RAG applications.

Technical Report Generation and Editing using GenAI

This Advanced Multimodal RAG system enables secure, offline querying of complex PDF documents. It uses unstructured to ingest text, tables, and images, generates summaries via local LLMs (Ollama/Llama 3), and retrieves context using ChromaDB to answer user queries through a Gradio chat interface.

Benchmark open-source document parsers for RAG and LLM applications.

Streamlit based Chatbot for Tech and Non-Tech Customer Queries using CrewAI framework to showcase RAG based AgenticAI

Documentation assistant for developers who want to quickly understand and query large documentation sites. Built with a modern tech stack including Firecrawl for llm-ready web crawling, Unstructured for document processing, MongoDB Atlas for vector search, and OpenAI for embeddings and generation.

A GUI to select and annotate PDF areas with the help of Unstructured API and ChatGPT.