LangChain

What tech stack works best with LangChain for production AI products?

The question is about LangChain .

Answer:
The most effective LangChain production stack combines FastAPI (Python) for the AI API layer, Supabase with pgvector or Pinecone for vector storage, OpenAI or Anthropic API as the LLM backend, LangSmith for chain tracing and prompt monitoring, and Redis for caching LLM responses and managing conversation memory across sessions.

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Nine years developing data science solutions across agritech, defence, fintech, and sports analytics. Built Quantum's entire DS department from scratch — hired over 30 people, created learning pathways, and mentored MSc and P... Read More

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Oleh focuses on LLM-driven automation, building reliable agent workflows and RAG systems with clear boundaries and auditable outputs. As a Senior TypeScript / Python AI Engineer with 7+ years of commercial delivery, he ships... Read More

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