Chroma

Chroma is open-source search infrastructure for AI applications. It helps developers build retrieval systems with vector search, full-text search, metadata filtering, and scalable storage for embeddings and documents. Teams use it for RAG systems, AI agents, internal knowledge search, semantic search, and memory-like workflows. The product is useful for founders and builders who need a simple way to connect LLMs to application data. Instead of writing custom search and retrieval infrastructure, teams can use Chroma locally during development or move to Chroma Cloud for managed, serverless search across larger datasets. Chroma Cloud pricing is usage-based. The official pricing page lists a free Starter plan with credits, a Team plan for production use cases, and custom Enterprise pricing for organizations that need security, scale, support, and confidence. For FutureStack, Chroma is a strong Developer Tools listing because it is highly relevant for AI app builders. It is best for developers, SaaS founders, and technical teams building RAG products, agent memory, document search, package search, and AI-native retrieval workflows.