An AI agent that writes SEO-optimised blog posts and outputs a properly formatted markdown document.
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Updated
Feb 23, 2025 - Python
An AI agent that writes SEO-optimised blog posts and outputs a properly formatted markdown document.
Webapp to answer questions about my resume leveraging Langchain, OpenAI, Streamlit
This is a RAG project to chat with your uploaded PDF , made using Langchain and Anthropic Claude 3 used as LLM , hosted using Streamlit
Q&A System using BERT and Faiss Vector Database
Nemesys is an ethical cybersecurity tool designed to automate exploitation and post-exploitation tasks using Metasploit. It enhances target attacks, privilege escalation, and system analysis while providing intelligent reporting through cloud-based large language models (LLMs). 🚀📊
It allows users to upload PDFs and ask questions about the content within these documents.
Advanced RAG pipeline using Re-Ranking after initial retrieval
LLM graph-RAG SQL generator for large databases with poor documentation
This repo is for advanced RAG systems, each branch will represent a project based on RAG.
Generative AI projetc using LangChain for similarity search. Input 3 articles urls and ask something about the topic
Implementing LangChain concepts and building meaningful stuffs
ChatPDF leverages Retrieval Augmented Generation (RAG) to let users chat with their PDF documents using natural language. Simply upload a PDF, and interactively query its content with ease. Perfect for extracting information, summarizing text, and enhancing document accessibility.
Click below to visit my website
RAG-based Local PDF Chatbot: Supports multiple PDFs and concurrent users. Powered by Mistral 7B LLM, LangChain, Ollama, FAISS vector store, and Streamlit for an interactive experience.
Faiss with sqlite
In this project I have built an end to end advanced RAG project using open source llm model, Mistral using groq inferencing engine.
BankLLM is an AI-driven recommendation engine for banking, using OpenAI's models to analyze customer data and generate personalized product suggestions. It integrates LangChain, FAISS, and LangServe, with a FastAPI backend and Streamlit frontend, following an LLMOps approach for scalable deployment.
In this project I have built an app that can answer questions from your multiple PDFs using Google's gemini-1.5-flash model.
An advanced AI-powered solution enhances network diagnostics by leveraging large language models (LLMs). It parses various logs to identify patterns and anomalies, providing actionable insights for diagnosing and resolving network issues efficiently. This simplifies analysis, enabling quicker and more accurate problem detection and resolution.
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