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I will build rag knowledge base ai assistant
K K Sonakiya
About this gig
I will build a RAG-powered AI assistant that can answer questions from your own documents, website content,
FAQs, or private knowledge base.
Instead of relying only on the model's general knowledge, the assistant retrieves relevant information from your
provided sources and uses it to generate answers.
The system can be connected to a website or another supported interface, and can be extended with databases,
APIs, authentication, or automation workflows when required.
Please message me before ordering so we can review your knowledge sources, expected number of documents,
and desired user experience.
Get to know K K Sonakiya
K K Sonakiya
Senior AI Engineer
- FromIndia
- Member sinceApr 2015
- Last delivery2 years
Languages
English, Hindi
Senior Python AI Engineer with 12+ years experience building AI agents, automation systems, chatbots, and Flask/FastAPI apps.
Expert in OpenAI, LangChain, vector DBs, web scraping, and Telegram/Discord/WhatsApp bots.
I deploy AI assistants on VPS/local machines, integrate workflows, and turn complex ideas into working systems. Background across aerospace, e-commerce, and enterprise software.
Clean, secure, production-ready builds.
Other AI Development Services I Offer
FAQ
What documents can the RAG assistant use?
Common sources include PDFs, text files, website content, FAQs, and structured business information.
Can the assistant be added to my website?
Yes, a RAG assistant can be exposed through a supported website interface or application.
Is RAG the same as fine-tuning?
No. RAG retrieves relevant information from your knowledge source at query time, while fine-tuning changes model behavior through additional training.
