PipesHub is an open-source fully extensible AI context layer that unifies your business data for explainable enterprise search and agentic workflow automation.
RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
Python, LlamaIndex, LangChain, Docker Compose: 15 Property Graph, 4 RDF , 10 Vector, OpenSearch, Elasticsearch, Alfresco DBs. 13 data sources (9 auto-sync), KG auto-building, Ontologies, LLMs, Docling or LlamaParse doc processing, GraphRAG, RAG only, Hybrid Search, AI Chat. TypeScript React, Vue, Angular frontends, FastAPI REST backend, MCP Server.
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📝
🤖 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.
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
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.
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