I build custom RAG AI chatbots that answer questions using your website content, documents, policies, manuals, product information, or internal knowledge base.

Unlike a basic chatbot, a RAG system retrieves relevant information from your data before generating an answer. This helps provide more accurate, useful, and business-specific responses while reducing unsupported or generic answers.

AI chatbot for your website or internal team

PDF, DOCX, CSV, webpage, and knowledge-base processing

Retrieval-Augmented Generation pipeline

OpenAI, Claude, Gemini, or local LLM integration

LangChain or LangGraph implementation

Vector database setup and semantic search

Conversation history and persistent memory

Source references and document citations

Admin controls and document updates

API, database, CRM, or website integration

User authentication and access permissions

Testing, deployment, and documentation

The chatbot can be developed for customer support, employee assistance, product guidance, document search, healthcare information, education, legal knowledge, company policies, or other business use cases.

Each solution is designed around your data, required features, users, and expected workflow. You will receive a secure, scalable, and production-ready chatbot that helps users find accurate information quickly.