Add local AI and Qdrant vector backends
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# Ollama Local Profile
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Ollama is the convenience runtime path for the supported local profile.
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Start Ollama and pull the supported model pair:
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```bash
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ollama serve
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ollama pull qwen3:4b
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ollama pull qwen3-embedding:0.6b
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```
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Configure RA-H:
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```bash
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LLM_PROFILE=openai-compatible
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LLM_BASE_URL=http://127.0.0.1:11434/v1
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LLM_MODEL=qwen3:4b
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EMBEDDING_PROFILE=openai-compatible
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EMBEDDING_BASE_URL=http://127.0.0.1:11434/v1
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EMBEDDING_MODEL=qwen3-embedding:0.6b
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EMBEDDING_DIMENSIONS=1024
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```
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Validate:
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```bash
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npm run doctor:local-ai
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```
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Changing `EMBEDDING_MODEL`, `EMBEDDING_DIMENSIONS`, `EMBEDDING_PROFILE`, or `VECTOR_BACKEND` requires a vector rebuild:
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```bash
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npm run rebuild:embeddings
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```
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Local utility LLM quality can affect descriptions, extraction summaries, transcript summaries, and edge inference. Keep custom model overrides experimental until they pass your own workflow checks.
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