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feat: Hybrid RAG knowledge base, sentence-aware chunking, MeshMonitor HTTP sync
Knowledge Base: - Hybrid FTS5 + vector search using sqlite-vec and bge-small-en-v1.5 - Reciprocal Rank Fusion for result merging - Domain-aware query construction handles typos - Configurable weights for keyword vs semantic matching Message Chunking: - Sentence-aware splitting respects message boundaries - Continuation prompts for long responses - Natural follow-up detection (yes, ok, continue, more, etc.) - Per-user continuation state management MeshMonitor Integration: - HTTP API trigger sync (replaces file-based triggers.json) - Dynamic refresh interval - Trigger injection into LLM prompt Other: - Updated system prompt for better response length control - Simplified responder to handle message lists - Updated README with new features and architecture diagram - Cleaned up config.example.yaml Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@ -14,12 +14,12 @@
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services:
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meshai:
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# Pull from GitHub Container Registry
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image: ghcr.io/zvx-echo6/meshai:latest
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# image: ghcr.io/zvx-echo6/meshai:latest
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# Uncomment to build locally instead of pulling
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# build:
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# context: .
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# dockerfile: Dockerfile
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build:
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context: .
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dockerfile: Dockerfile
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# args:
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# UID: ${UID:-1000}
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# GID: ${GID:-1000}
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@ -52,7 +52,7 @@ services:
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deploy:
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resources:
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limits:
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memory: 256M
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memory: 3G
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reservations:
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memory: 64M
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@ -69,6 +69,7 @@ services:
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max-size: "10m"
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max-file: "3"
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volumes:
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meshai_data:
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name: meshai_data
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