AI Tools Directory · Data & ML Ops
The unglamorous middle layer that makes AI actually work.
Data pipelines, fine-tuning platforms, evaluation harnesses, vector-DB tooling. The pick depends entirely on your scale. We design and deploy these stacks for clients running their own models — talk to us if you’re past prompt engineering and need real ML-ops.
6 tools we recommend
All categories →Qdrant
FreemiumOpen-source vector database with a Rust engine. Self-host for data sovereignty, or run the managed cloud with a free tier
Langfuse
FreemiumOpen-source LLM engineering platform: tracing, evals, and prompt management. The own-your-traces answer to LangSmith
Ollama
FreeFree, open-source runtime for local LLMs. Run Llama, DeepSeek, Mistral and more on your own machine with one command
Braintrust
FreemiumCommercial eval and observability platform for LLM apps: evals, logging, and a prompt playground with unlimited users
Pinecone
FreemiumFully-managed vector database for production RAG. Serverless tier, low operational overhead — the default for client deployments
LangSmith
FreemiumLLM observability, tracing, and evals from the LangChain team. The piece every serious AI deployment needs before it goes wrong in production