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The Stack
10 Open-Source AI Tools That Feel ILLEGAL To Know About
A countdown of ten open source AI tools, ranked from 10 to 1 by how much pain each one removes from a working LLM stack. It covers RAG ingestion (Chonkie, Marker, Crawl4AI), storage and retrieval (Qdrant), local inference (Ollama), observability (Langfuse), prompt optimization (DSPy), provider routing (LiteLLM), and structured output (Outlines and Instructor). The framing argument is that the model layer is now a commodity, so the glue code around it is where engineering time is won or lost. Each tool gets an honest fork: when to reach for it and when a simpler option wins.