R2R is a prod-ready RAG (Retrieval-Augmented Generation) engine with a RESTful API. R2R includes hybrid search, knowledge graphs, and more.

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Minimalist web-searching app with an AI assistant that runs directly from your browser. Uses Web-LLM, Ratchet-ML, Wllama and SearXNG. Demo: https://felladrin-minisearch.hf.space

A single application with more than 100 Topics related MCQ'S, True-False, Short Questions type quiz.

Code for the paper: GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

Development and deployment of a question-answer LLM model using Llama2 with 7B parameters and RAG with LangChain

Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, scalable, under developpement

The codebase for the book "AI-Powered Search" (Manning Publications, 2024)

Harness LLMs with Multi-Agent Programming

基于知识图谱的问答系统

Crowdsourced Geospatial Question-Answering dataset containing triples of question-queries-answers.

Reasoning in Large Language Models: Papers and Resources, including Chain-of-Thought, Instruction-Tuning and Multimodality.

Fine tuned llama 3 models for context based question answering in bengali language.

A free and open source platform focused on providing a fun way to anonymously ask and respond to inquiries

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Defending Against Misinformation Attacks in Open-Domain Question Answering

Links to my repositories, where I implement a wide variety of Natural Language Processing models using TensorFlow and Hugging Face.

State of the Art Natural Language Processing

🔍 LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

This is a project I've worked on using Next.js. It includes authentication with Clerk, theme switching, AI integration with OpenAI, and other features like voting and gamification elements..