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Experimental RAG playground for exploring retrieval quality, corpus construction, and filter-chain design. Features configurable ranking and filtering pipelines, visual document grounding, chat interfaces, web search, Open WebUI integration, and rich debugging insights. Ollama and vLLM, running in Dev Containers or natively on Linux and Windows.
Kernel-first, lightweight OSS for self-hosted multi-turn AI chat in Docker, with transparent runtime logic, async RAG/memory worker, baseline performance data, and split-licensed extensibility.