𝐑𝐀𝐆 𝐀𝐈 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 | 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐒𝐞𝐚𝐫𝐜𝐡, 𝐀𝐈 𝐀𝐧𝐬𝐰𝐞𝐫𝐬 & 𝐕𝐞𝐜𝐭𝐨𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 I designed and built a RAG-powered AI knowledge platform that lets businesses search documents, websites, databases, and internal knowledge using natural language.

The system processes content, creates embeddings, stores them in a vector database, retrieves the most relevant information, and uses AI to generate accurate, source-grounded answers.

My services include: RAG development, document ingestion, semantic search, vector database setup, OpenAI/LLM integration, internal knowledge assistants, API integrations, and analytics.

The solution helps teams find information faster, reduce repetitive research, improve answer consistency, and build scalable AI-powered knowledge systems.

𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: OpenAI, LangChain, RAG, Pinecone, Qdrant, Weaviate, FAISS, Chroma, Python, FastAPI, PostgreSQL, APIs.

Just finished migrating a clients website from Webflow over to Vercel. They approached me one day asking me: "Zlatko with all the advantages of AI, why should we continue hosting the site on Webflow." And I was a certified partner at the time. I sat down thinking for a long time about this and all the usual excuses came up such as ease of use for marketing teams, etc. But then, day by day, we've noticed that all of those "advantages" quickly started melting away. Need CMS? - Use payload, sanity, strapi, even wordpress Need marketing teams to edit it? - Use shipstudio, editlayer, etc. Want to make quick technical changes and updaets to the site? - Use cheap models like composer or Grok. This is one of many websites we've recently migrated away, and I believe we will continue to do so. Designers and developers who have taste will soon start seeing tremendous advantages of using AI, and simply leaving old stacks behind.