Guarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local...

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse...

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats,...

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems...

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense +...

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors,...

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text...

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors),...

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI,...

Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents,...

Visualize training metrics, debug models with histograms, compare experiments, visualize model graphs, and profile...

Track ML experiments, manage model registry with versioning, deploy models to production, and reproduce experiments...

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production...

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production...

Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs,...

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment,...