Use Case
Businesses often have information across PDFs, manuals, website pages and FAQs. A RAG chatbot helps users ask questions and find relevant answers faster.
AI Case Study
RAG Chatbot Development
A practical AI assistant approach for searching documents, FAQs, policies and business knowledge using retrieval-augmented generation.
Workflow
Documents are prepared, split into searchable chunks, converted into embeddings, retrieved by relevance and used by the AI assistant to answer user questions.
Technology
Python, APIs, embeddings, vector search, document processing, frontend chat UI and backend workflows for answer generation.
Business Value
RAG can reduce repeated support questions, improve internal knowledge access and make business documents easier to search.