š Overview:
Developed a custom Retrieval-Augmented Generation (RAG) AI chatbot capable of handling dynamic conversations and delivering intelligent, context-aware responses in real time.
š ļø Tech Stack:
LangChain + LLM Integration for generating context-aware, AI-powered replies
āļø Key Features:
ā Retrieval-Augmented Generation (RAG) for contextually enriched answers
ā Real-time messaging and conversation history tracking
ā Custom-built frontend for interactive chat experience
ā LLM-driven responses for intelligent, human-like conversations
š Result:
Successfully delivered a functional, AI-powered chatbot combining retrieval-based context enrichment with LLM-generated responses for dynamic, personalized conversations.
Like this project
Posted Jun 11, 2025
Developed a RAG AI chatbot for dynamic, context-aware conversations.