dspy

SGLang is a high-performance LLM serving framework that uses RadixAttention for automatic prefix caching, enabling significantly faster structured generation. It's ideal for developers needing JSON/regex outputs, constrained decoding, or building agentic workflows with tool calls. Use it when you require up to 5× faster inference than alternatives like vLLM in scenarios with shared prefixes.

The qdrant-vector-search skill provides a high-performance vector similarity search engine for building production RAG systems. It enables fast nearest neighbor search, hybrid search with filtering, and scalable vector storage powered by Rust. Use it when you need low-latency semantic search with horizontal scaling capabilities and full data control.

CrewAI is a lightweight multi-agent orchestration framework for building teams of specialized AI agents that collaborate autonomously on complex tasks. It enables role-based agent collaboration with memory and supports sequential or hierarchical workflows for production use. The framework is built without LangChain dependencies for lean, fast execution.

Chroma is an open-source embedding database for AI applications that provides vector search, metadata filtering, and a simple API. It's ideal for building RAG applications and semantic search, scaling from local development to production. Use it when you need a self-hosted vector database for document retrieval and embedding storage.