Backend of multi-agent AI search system built with Flask and Groq's Llama 70B model. Combines real-time web search and academic research capabilities through a custom-built agent architecture.

SMC-RW-AI an AI-powered solution to automate proposal writing, using advanced models like ChatGPT-4 and Azure AI Search. This enhanced efficiency, quality, and consistency, showcasing the client as a tech leader in their industry.

A tutorial on how to use OpenAI embeddings to create a better search for any website or application.

Universal Python tool to automatically generate and maintain llms.txt files for any website - WordPress, Django, Static Sites & more!

📝 Parse, chunk, and evaluate Markdown for RAG pipelines with token-accurate support and flexible strategies for optimal context management.

Full SEO + GEO audit in one command. Free. No API keys. PDF + Excel output.

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

AI Projects

Using Ant Colony Optimization to solve the Travelling Salesman Problem. April 2022.

Azure AI Search Index provides a mechanism to search and retrieve text that uses vector embeddings for the search scenarios. Hybrid search is the ability to query text and vectors simultaneously. In this session, we explore the hybrid search abilities with in AI search index after exploring basics of building vectors using Azure OpenAI embeddings

AWS Hackathon - Inefficient file systems in manufacturing firms cause employees to waste significant time searching for critical documents. This directly reduces productivity and leads to costly production delays.