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Local experimental RAG playground for exploring retrieval quality, corpus construction, confidence and filter-chain design. Configurable retrieval orchestration, ranking, filtering pipelines, visual document grounding, web search, Open WebUI integration, and rich debugging insights. Ollama and vLLM, Dev Containers or natively on Win and Linux.
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.