llamaparse

Python, LlamaIndex, LangChain, 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch DBs. 14 data sources, 10 auto sync: Alfresco, Nuxeo, etc. KG auto-building, Ontologies, LLMs, Docling, LlamaParse, LiteParse, GraphRAG, RAG, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, REST, MCP Server. Options: Langflow, CocoIndex

An agentic AI application that allows you to chat with your papers and gather also information from papers on ArXiv and on PubMed

Python SDK for OCR and document parsing in the cloud with LlamaParse

Building and deploying a document Q&A application on the Hugging Face cloud using Docker.

Typescript SDK for OCR and document parsing in the cloud with LlamaParse

Getting Started with GPT4 API, GPT4 RAG, OpenAI GPT4 Assistant, OpenAI Models

Extract data from images, pdf, invoices, receipts | Extract tables from pdf, images and convert to Excel/CSV | OCR complex pdfs, images.

Turn PDF into Notes in seconds📝

RAG system for intelligent question answering over PDF documents

Open, independent benchmark on document parsing APIs and frontier VLMs for AI agents and RAG: does a struck-out clause in a redlined contract PDF survive the parse? Open source code + open data. LlamaParse, Reducto, Datalab, Extend, Pulse, Mistral OCR, GPT-6 Astra, Claude Fable 5.1.

🤖 Discover the latest research papers on ArXiv tailored to your interests using AI-powered analysis and smart search features.

This is the Python backend for InsightAI, Architected a microservices-based EdTech platform combining Study Companion, Project Planner, and ShopGenie modules.

C# SDK for the LlamaParse API -- document parsing, extraction, RAG pipelines, and file management

User-friendly interface for creating effective Retrieval Augmented Generation (RAGs)

Do you need OCR or are heuristics enough? Find out!

A chatbot for asking about internal information

Chainlit app for RAG chat with documents Parsing PDF documents using LlamaParse, Qdrant, and the Groq model

A RAG app with streamlit as UI app, flask as backend api. Bot trả lời về document, về data cụ thể. Bot trả lời về document của công ty, trả lời về tờ hướng dẫn sử dụng hay gì đó. Data: bot có khả năng query để lấy dữ liệu (dạng dữ liệu có cấu trúc) như csv

One API for every document parser: parse, OCR and extract across 18 providers, with an open, inspectable benchmark.

Simplify context preparation for large language models. This Streamlit application uses llama-parse and files-to-prompt to combine PDF and text files into a single, Claude XML-formatted context file for LLMs.