I will build a custom rag ai chatbot trained on your data using openai and langchain

Yes, we offer refunds if we fail to deliver satisfactory results.

Absolutely. Security is my top priority. I use secure API connections and store all vector embeddings in private databases like PostgreSQL with pgvector or MongoDB Atlas Vector Search. Your data remains fully isolated it's never used for training external models, and I implement strict access contro

Yes! I design systems that can sync with live MongoDB collections and other databases in real-time. Whether you need hourly updates or continuous streaming, I implement change data capture (CDC) patterns to keep your AI's knowledge current with your latest documents, customer data

I offer flexible options. For development and testing, I can use my managed API keys. For production, I strongly recommend you provide your own OpenAI or Anthropic account for maximum security and billing control. I'll guide you through secure key management best practices.

Through carefully engineered RAG (Retrieval-Augmented Generation) architecture. Every answer is grounded in your actual documents with source citations. I implement multiple verification layers including confidence scoring, cross-referencing, and fallback protocols to ensure hallucination-free answe

RAG (Retrieval-Augmented Generation) lets AI search your documents, PDFs, databases, and websites before answering. Unlike regular ChatGPT, it provides accurate, business-specific responses based on your own data.

Yes. I can integrate the RAG AI chatbot into your website, SaaS platform, web app, customer portal, or internal system using APIs, widgets, or custom UI components.

I support PDFs, Word files, websites, FAQs, PostgreSQL, MySQL, cloud storage, APIs, and custom knowledge bases. Most digital data sources can be connected to your chatbot.

Yes, in most cases. Using your own OpenAI API key gives you full control over usage, billing, and ownership. I can guide you through the setup if needed.

Yes. Your data remains confidential and is used only for development and testing. Secure architectures, private databases, access controls, and NDA support are available upon request.