AI & Machine Learning Integration
We integrate AI and machine learning capabilities into production applications, from LLM-powered features to custom model deployment.
Our Expertise
- LLM integration - OpenAI, Anthropic Claude, custom models
- RAG systems - Retrieval-augmented generation
- Vector databases - Pinecone, Weaviate, pgvector
- Model deployment - Scalable inference infrastructure
- AI-powered features - Search, recommendations, content generation
AI Use Cases We've Built
Healthcare - LLM-powered clinical documentation
Search - Semantic search with vector embeddings
Content - AI-assisted content generation
Analytics - Predictive models for business insights
Automation - AI-powered workflow automation
Architecture Patterns
API-first - Abstract AI providers for flexibility
Caching - Reduce costs with intelligent caching
Fallbacks - Graceful degradation when AI fails
Monitoring - Track costs, latency, and quality
Safety - Content filtering and moderation
Technologies We Use
- OpenAI API, Anthropic Claude
- LangChain, LlamaIndex
- Pinecone, Weaviate, pgvector
- Hugging Face, TensorFlow
- Python, FastAPI for ML services
