Kimchi vs. Haystack by deepset

Kimchi.dev is a managed AI inference platform that empowers engineering teams to move from early experimentation to private, production-ready inference within their own Virtual Private Cloud. It offers a unified OpenAI-compatible API, allowing teams to quickly test models and build AI applications without the complexities of GPU setup. Kimchi provides built-in governance for tracking usage by engineer, team, and project from day one.

Haystack is deepset's open-source Python AI orchestration framework for building customizable, production-grade AI agents and workflows. Connect components like language models, vector databases, and file converters into pipelines and agents that retrieve, reason, and act on your own data; use hooks to control the agent loop: enforce a token budget before the next LLM call, incorporate human approval before a risky tool call, or use compaction to keep context small.