Static interfaces are becoming obsolete. Users expect conversational interactions and smart suggestions. I specialize in integrating Large Language Models (OpenAI, Anthropic, Mistral) directly into the frontend. Using the Vercel AI SDK and RAG architecture, I build interfaces that don't just 'chat' but understand your business data, allowing users to query documents, generate dynamic dashboards, and interact with your product via natural language.
AI Capabilities
Generative UI
Going beyond text. I implement 'Generative UI' patterns where the AI can render interactive React components (charts, forms, product cards) directly in the chat stream based on user intent.
RAG (Chat with Data)
Connecting LLMs to your private knowledge base. By integrating Vector Databases (Pinecone, Supabase), I enable the AI to provide accurate answers based solely on your internal documentation or product catalog.
Streaming & Latency
Waiting 5 seconds for an answer kills UX. I implement Edge Runtime streaming to deliver the first token instantly, creating the smooth, real-time typing effect users love in ChatGPT.
Smart Search & Autocomplete
Replacing keyword search with Semantic Search. Using vector embeddings, I build search bars that understand the 'meaning' behind a query, not just exact character matches.
Integration Workflow
- 1
Context Design - Defining the System Prompt and safety guardrails
- 2
Embedding Pipeline - Converting your data into vectors for the RAG engine
- 3
UI Implementation - Building the chat interface with optimistic updates
- 4
Tool Calling - Connecting the AI to your internal APIs (e.g., 'Book a meeting')
- 5
Optimization - Caching frequent queries to reduce API costs