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rUvandClaude Opus 4.5
a1119d7704
Automatic checkpoint created by Claude Code - Branch: main - Timestamp: 2026-01-17T20:32:05Z - Changes: 1 file(s) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
69 lines
1.9 KiB
YAML
69 lines
1.9 KiB
YAML
version: '3.8'
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# RuVector PostgreSQL Testing Environment
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# Using the official RuVector PostgreSQL extension from ruvnet/ruvector
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#
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# Features:
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# - 77+ SQL functions for vector operations
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# - HNSW and IVFFlat indexing
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# - 39 Attention mechanisms (self, multi-head, cross)
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# - GNN layers for graph operations
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# - Hyperbolic embeddings (Poincaré/Lorentz)
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# - Sparse vectors (BM25/TF-IDF)
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# - SPARQL support (50+ RDF functions)
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# - Local embeddings (6 fastembed models)
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# - Self-learning index optimization
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# - SIMD acceleration (AVX-512/AVX2/NEON)
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#
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# Performance: ~61µs latency, 16,400 QPS, 200MB for 1M vectors
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services:
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postgres:
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image: ruvector/postgres:latest
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container_name: ruvector-postgres
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environment:
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POSTGRES_USER: claude
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POSTGRES_PASSWORD: claude-flow-test
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POSTGRES_DB: claude_flow
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# RuVector specific settings
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RUVECTOR_SIMD: auto # auto-detect best SIMD (AVX-512/AVX2/NEON)
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RUVECTOR_CACHE_SIZE: 256MB
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RUVECTOR_LEARN_ENABLED: 'true'
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ports:
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- "5432:5432"
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volumes:
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- postgres_data:/var/lib/postgresql/data
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- ./scripts/init-db.sql:/docker-entrypoint-initdb.d/01-init.sql
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healthcheck:
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test: ["CMD-SHELL", "pg_isready -U claude -d claude_flow"]
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interval: 5s
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timeout: 5s
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retries: 5
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# Optimize for vector operations
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command: >
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postgres
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-c shared_preload_libraries='ruvector'
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-c ruvector.hnsw_ef_search=100
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-c ruvector.enable_parallel=on
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-c work_mem=256MB
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-c maintenance_work_mem=512MB
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# Optional: pgAdmin for visual database management
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pgadmin:
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image: dpage/pgadmin4:latest
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container_name: ruvector-pgadmin
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environment:
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PGADMIN_DEFAULT_EMAIL: admin@claude-flow.local
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PGADMIN_DEFAULT_PASSWORD: admin
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PGADMIN_CONFIG_SERVER_MODE: 'False'
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ports:
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- "5050:80"
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depends_on:
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postgres:
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condition: service_healthy
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profiles:
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- gui
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volumes:
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postgres_data:
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