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AI Integration
I integrate AI capabilities into web applications - from simple LLM-powered features to complex RAG systems with semantic search. Practical AI that solves real business problems.
What's included
- LLM integration (OpenAI, Anthropic, open-source)
- RAG pipelines with vector databases
- Semantic search (pgvector, Pinecone, Weaviate)
- AI chat interfaces and streaming responses
- Prompt engineering & model orchestration
- Document processing and embeddings
- AI-powered content generation
- LangChain / custom AI pipelines
Tech stack
OpenAILangChainpgvectorPineconePythonFastAPINode.js
How it works
01
Use Case Analysis
Identify where AI adds genuine value. Define evaluation criteria.
02
Pipeline Design
Choose models, design data flow, plan context management.
03
Prototype
Build and test the AI pipeline with real data samples.
04
Integration
Connect to your existing application with proper UX for AI interactions.
05
Evaluation
Set up evals, monitor quality, iterate based on real usage.
Let's work together
Have a project in mind? I'd love to hear about it and explore how I can help.