chroma

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.

LlamaIndex is a data framework for building RAG applications, specializing in ingesting documents from numerous sources and indexing them for querying. It provides key components like vector indices and query engines to enable document Q&A, chatbots, and knowledge retrieval over private data. Use it when you need to connect LLMs to your own data for data-centric applications.

DSPy is a framework for building complex AI systems like RAG pipelines and agents using declarative programming. It automatically optimizes prompts and LM calls based on your data, moving beyond manual prompt engineering. Use it to create modular, maintainable, and systematically improved AI applications.

Pinecone is a fully managed vector database for production AI applications, offering auto-scaling, low-latency hybrid search, and metadata filtering. It's ideal for developers building production RAG systems, recommendation engines, or semantic search at scale without managing infrastructure. Use it when you need a serverless, managed service with consistent sub-100ms performance.