AI/ML Integration

Integrate OpenAI API with best practices

Set up Claude/Anthropic API integration

Implement vector embedding search

Build Retrieval-Augmented Generation pipeline

Create reusable prompt templates with variables

Implement streaming AI responses

Set up LangChain for AI workflows

Compare responses from multiple AI models

Implement rate limiting for AI API calls

Prepare data for model fine-tuning

Handle AI API errors, retries, and fallbacks

Track and optimize AI API costs

Implement smart document chunking strategies for RAG

Add reranking with cross-encoders to improve RAG retrieval

Evaluate RAG systems with RAGAS metrics and benchmarks

Build multimodal RAG with images, tables, and PDFs

Combine dense and sparse retrieval for hybrid RAG search