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RAG-Based AI Chatbot
Intelligent chatbot with Vector Store and Google Search integration (SerpAPI). Dynamically ingests documents for real-time querying and expanded knowledge scope.
Project Overview
A conversational AI agent that doesn't just rely on pre-trained knowledge. It combines internal document knowledge via RAG with real-time web search capabilities using SerpAPI to provide accurate, up-to-date answers. This hybrid approach allows it to handle both proprietary inquiries and general knowledge questions with citations.
Key Features
Hybrid RAG and Web Search architecture
Dynamic document ingestion
Source citation and verification
Context retention across turns
Tech Stack
LangChainPineconeSerpAPINext.jsOpenAI
Tags
#RAG#Vector DB#Google API#SerpAPI