AI Development
Build and fine-tune AI-powered applications with modern frameworks.
Build With AI, Not Around It
AI development has moved far beyond calling a single API endpoint. Modern AI apps combine embeddings, vector databases, retrieval-augmented generation (RAG), and tool use to create systems that are grounded in real data and capable of taking actions. Frameworks like LangChain and LlamaIndex make this accessible to any developer.
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SDKs & Frameworks
The OpenAI and Anthropic SDKs handle API calls, streaming, and function calling. LangChain orchestrates multi-step chains, and LlamaIndex specializes in connecting LLMs to your data sources for RAG applications.
Embeddings & Vector Stores
Embeddings convert text into numerical vectors that capture meaning. Store them in Pinecone, Chroma, or pgvector to enable semantic search - the foundation of RAG and any AI system that needs to reference your own documents.