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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

Ready to start?

Let's discuss your project and find the best approach together.

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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.