The AI-Based Pre-Screening Assistant Bot is an AI-powered technical interview assistant that evaluates candidates using adaptive questioning, real-time feedback, and automated report generation. Built with Streamlit and RAGPipeline, it dynamically adjusts question complexity, tracks candidate performance, and emails interview summaries

🤖 An Intelligent Chatbot: Powered by the locally hosted Ollama 3.2 LLM 🧠 and ChromaDB 🗂️, this chatbot offers semantic search 🔍, session-aware responses 🗨️, and an interactive Streamlit interface 🎨 for seamless user interaction. 🚀

iKOMA – Autonomous local AI assistant with secure internet search, continuous plan-execute-reflect loops, real-time dashboards, and safety-first guardrails.

A production-ready AI agent pipeline using LangChain for LLM workflows, LangGraph for agent orchestration, and LangSmith for observability supporting document processing, weather queries, and general Q&A with built-in monitoring and debugging.

This end-to-end assistant leverages the full architecture and implementation details of FastAPI, Gemini, Langchain, ChromaDB, and PyPDF.

RAG-PDF Assistant — A simple Retrieval-Augmented Generation (RAG) chatbot that answers questions using custom PDF documents. It uses HuggingFace embeddings for text representation, stores them in a Chroma vector database, and generates natural language answers with Google Gemini. In this example, the assistant is powered by a few school policy doc

This repository is for retrieval augmentation generation, with knowledege based on DED.

AI-assisted news aggregator

GeneralPurposeChatBot with RAG. Adpated for Telegram / Чатбот общего назначения для решения задачи поиска информации в документах. Адаптирован под Telegram.

Simple LLM chatbot using ollama

Production-grade RAG system for Singapore government documents with OpenAI integration