I will build a secure rag ai document chatbot with nextjs and python

Unlock the Data in Your Private Documents with Custom RAG AI

Stop manually searching through hundreds of PDFs. I build secure, enterprise-grade Retrieval-Augmented Generation (RAG) applications that allow you to "chat" directly with your private documents, getting instant, accurately cited answers.

Using a modern tech stackNext.js, Pinecone Vector DB, Google Gemini, and PostgreSQLI create private document vaults tailored exactly to your business needs.

Core Capabilities:

• Smart Document Ingestion: Automated pipelines that extract, chunk, and embed your data into Pinecone for lightning-fast retrieval.
• Multi-Modal AI Vision: Have complex PDFs? I utilize Gemini Vision to accurately describe and index images, charts, and tables so no data is lost.
• Conversation Memory & History: Seamlessly ask follow-up questions. The AI remembers the context of the chat while PostgreSQL safely stores your session history.
• Zero Hallucinations: Engineered with strict prompts and Hybrid Search (Vector + Keyword) so the AI only uses your data to answer.

As a professional AI Evaluator and Full-Stack Developer, I ensure your data remains secure and the AI's logic is flawless. Lets build your private AI vault