HR policy RAG workflow with LangGraph StateGraph, conditional routing, FAISS, FastAPI, and an OpenAI-compatible model API.
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Updated
Aug 26, 2026 - Python
HR policy RAG workflow with LangGraph StateGraph, conditional routing, FAISS, FastAPI, and an OpenAI-compatible model API.
HR policy RAG assistant with LangChain LCEL, RunnableBranch, FAISS, FastAPI, and an OpenAI-compatible model API.
CorpGuide AI Backend: An intelligent HR Policy Assistant powered by RAG, Groq, and LangChain. Features a FastAPI server, ChromaDB vector search, and self-healing database logic for context-aware document retrieval.
An AI-powered HR assistant that uses Retrieval-Augmented Generation (RAG) with FastAPI & Streamlit to answer employee queries, search profiles, and simplify HR resource management
AI-powered HR assistant with resume processing, biometric face verification, and intelligent chatbot. Built with FastAPI, OpenAI GPT-5, Face++, and FAISS for enterprise HR automation.
The chatbot built as a part of Hackathon 2024 (Microsoft & Sword) competition on MS Azure AI Studio. The chatbot aims to assist HR with frequently used questions issue
RAG-based HR Policy Assistant that answers employee policy questions using semantic search and LLM-powered responses.
PeopleBot — AI-powered HR Assistant built with React, Node.js & Ollama
This project demonstrates a functional Agentic AI designed to reduce HR administrative overhead. It utilizes a Retrieval-Augmented Generation (RAG) architecture to allow an LLM to "read" internal company policies and execute basic HR tasks autonomously.
AI-powered HR Knowledge Assistant using RAG and vector databases for context-aware Q&A over HR policies and employee documents.
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