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I will build rag knowledge base ai assistant
K K Sonakiya
Informazioni su questo servizio
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.
Scopri di più su K K Sonakiya
K K Sonakiya
Senior AI Engineer
- DaIndia
- Membro daapr 2015
- Ultima consegna2 anni
Lingue
Inglese, 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.
Altri servizi della categoria Sviluppo AI offerti da me
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.
