Document intelligence framework for Python - Extract text, metadata, and structured data from PDFs, images, Office documents, and more. Built on Pandoc, PDFium, and Tesseract.

Enterprise IM Solution with AI powered live chat, email support, omni-channel customer service & team im，alternative to slack + zendesk/intercom

List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search

Use LLMs for building real-world apps

HTML to markdown converter

Code repository for AI Builders Bootcamp #2

A sample Chatbot in C# using Microsoft Agent Framework

Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.

Code repository for AI Builders Bootcamp #1

An AI teaching assistant that allows students to interact with the teacher's course materials

Source code for the Gilded Age Gourmet, a cooking chat app based on the Boston Cooking-School Cook Book.

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

Code repository for AI Builders Bootcamp #3

🐶 PetCare AI Chatbot, powered by Langchain, Ollama, and Flask, utilizes RAG for context-aware answers from PDF documents.

T.I.M.E: Thoroughly Intelligent Mail Explorer" Repo to try and build an incredible RAG system over email (this is to test the SOTA in RAG)

Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.

AI: Search engine using RAG course examples

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

Wurzel is an open-source Python framework for advanced ETL pipelines in Retrieval-Augmented Generation (RAG) systems.

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.