A Flask-based RAG (Retrieval-Augmented Generation) chatbot built on LangChain and AstraDB. It enables users to interact with Flipkart product reviews through conversational queries using local embeddings from Hugging Face.
Tools: Python, Streamlit, LangFlow, AstraDB, OpenAI API Developed an AI-based fitness assistant integrating multiple LLMs to provide personalized recommendations and real-time fitness calculations. Leveraged retrieval-augmented generation (RAG) using AstraDB to ensure accurate and context-aware responses tailored to user inputs.
An intelligent e-commerce customer support chatbot built with LangChain, FastAPI, and Google's Gemini AI. This chatbot provides product recommendations and handles customer queries by leveraging a vector database powered by AstraDB and product review data from Flipkart.
Social Media Analytics Tool provides insights into social media engagement metrics like likes, shares, and comments. Built with Streamlit, Plotly, and LangFlow, it offers an interactive dashboard powered by AI for post-performance analysis.
LangAgentsX delivers intelligent, multi-source answers through agent collaboration.
AlgoAI is a chatbot (RAG) for answering questions about Data Structures and Algorithms. Built with FastAPI, LangChain, and supports OpenAI or Cohere as LLM providers. Includes features like streaming responses, vector storage with Datastax Astra DB, and message persistence using Postgres.
AI-powered app for personalized fitness, macros, and nutrition using Streamlit, Langflow, AstraDB.
An intelligent movie recommendation system that leverages the power of Google's Gemini API and Retrieval-Augmented Generation (RAG) architecture. This project combines advanced natural language processing with vector-based semantic search to provide context-aware movie recommendations. Built with Flask and Python personalized movie suggestions.
Retrieval-Augmented Generation (RAG) model with a vector database and language model (LLM) responses, leveraging Flask for server-side scripting and Astra DB for efficient semantic search and vector-based retrieval.
NexusAI is a comprehensive multi-agent intelligence platform that leverages the power of LLMs (Large Language Models) through Agno's multi-agent framework and LangChain to provide intelligent responses across multiple domains.
A powerful Q&A system using Google's Gemini Pro API with vector storage (AstraDB) and LLM monitoring. Supports text, images, PDFs, DOCXs, URLs, and YouTube videos.
A simple AI agent within Python using Retrieval Augmented Generation (RAG) and LangChain.🤖
This project is an application built using Langflow and Langchain, designed for analyzing data, creating vector databases (embeddings), processing user queries, and retrieving answers from databases in real-time.
GitBuddy is an AI-powered coding assistant for GitHub. It uses RAG and LangChain to provide code suggestions, explanations, and insights from your repository. GitBuddy can search code, analyze issues and pull requests, and answer specific queries, all based on your repo’s data.
Langflow Customer Support Agent: An LLM-powered, multi-agent chatbot using Langflow, Streamlit, and OpenAI GPT-4o mini, with RAG-based retrieval via AstraDB. It dynamically routes queries to specialized agents (FAQAgent, OrderLookupAgent) for accurate, context-aware responses. Includes vector search and file upload for knowledge expansion.
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