e3adb4ed60
- Added Overview class to represent structured collections of web links, including detailed descriptions, examples, and ontology alignments. - Introduced RealnessStatus class to classify data as real or synthetic, with rich provenance and temporal semantics. - Created WebLink class for representing hyperlinks with associated metadata, enhancing structured link representation. - Established new slots: has_or_had_comprehensive_overview, is_or_was_real, and includes_or_included to support the new classes and improve data modeling. - Migrated existing slots to new structures, ensuring compliance with RiC-O naming conventions and enhancing specificity. - Updated annotations and examples across all new classes and slots for clarity and usability.
94 lines
2.8 KiB
YAML
94 lines
2.8 KiB
YAML
# Podman Compose for GLAM Heritage RAG API
|
|
#
|
|
# This deploys the RAG API container that connects to external services:
|
|
# - Qdrant (vector search) - host network
|
|
# - Oxigraph (SPARQL) - host network
|
|
# - TypeDB (knowledge graph) - host network
|
|
# - PostGIS (geospatial) - host network
|
|
# - Valkey (semantic cache) - host network
|
|
#
|
|
# Usage:
|
|
# podman-compose up -d
|
|
# podman-compose logs -f glam-rag-api
|
|
#
|
|
# Note: Uses --network=host to connect to localhost services on the host.
|
|
# This is simpler than bridge networking for this use case since all
|
|
# backend services run on the same host.
|
|
|
|
version: '3.8'
|
|
|
|
services:
|
|
glam-rag-api:
|
|
build:
|
|
context: .
|
|
dockerfile: Dockerfile
|
|
args:
|
|
BUILD_DATE: ${BUILD_DATE:-$(date -u +"%Y-%m-%dT%H:%M:%SZ")}
|
|
VCS_REF: ${VCS_REF:-local}
|
|
container_name: glam-rag-api
|
|
restart: unless-stopped
|
|
|
|
# Use host network to access localhost services (Qdrant, Oxigraph, etc.)
|
|
network_mode: host
|
|
|
|
# Environment variables
|
|
# API keys should be passed via env_file or runtime environment
|
|
environment:
|
|
# Service endpoints (localhost since using host network)
|
|
- QDRANT_HOST=localhost
|
|
- QDRANT_PORT=6333
|
|
- QDRANT_COLLECTION=heritage_custodians_minilm
|
|
- EMBEDDING_MODEL=all-MiniLM-L6-v2
|
|
- EMBEDDING_DIM=384
|
|
- TYPEDB_HOST=localhost
|
|
- TYPEDB_PORT=1729
|
|
- TYPEDB_DATABASE=glam
|
|
- SPARQL_ENDPOINT=http://localhost:7878/query
|
|
- VALKEY_CACHE_URL=http://localhost:8090
|
|
- POSTGIS_HOST=localhost
|
|
- POSTGIS_PORT=5432
|
|
- POSTGIS_DATABASE=glam
|
|
# LLM Configuration
|
|
- LLM_PROVIDER=${LLM_PROVIDER:-openai}
|
|
- LLM_MODEL=${LLM_MODEL:-gpt-4.1-mini}
|
|
# Rate limiting
|
|
- RAG_MAX_CONCURRENT=2
|
|
- RAG_REQUESTS_PER_MINUTE=30
|
|
|
|
# Load API keys from env file
|
|
env_file:
|
|
- /var/lib/glam/.env
|
|
|
|
# Mount optimized models and schemas
|
|
volumes:
|
|
# Optimized DSPy models (persisted)
|
|
- rag-optimized-models:/app/optimized_models
|
|
# LinkML schemas for ontology mapping
|
|
- ${SCHEMAS_DIR:-/var/lib/glam/schemas}:/app/schemas:ro
|
|
# Benchmark results (optional)
|
|
- rag-benchmark-results:/app/benchmark_results
|
|
|
|
# Health check (also in Dockerfile, but explicit here)
|
|
healthcheck:
|
|
test: ["CMD", "curl", "-f", "http://localhost:8010/health"]
|
|
interval: 30s
|
|
timeout: 10s
|
|
start_period: 60s
|
|
retries: 3
|
|
|
|
# Resource limits (conservative for 4-core/8GB server)
|
|
deploy:
|
|
resources:
|
|
limits:
|
|
cpus: '2'
|
|
memory: 4G
|
|
reservations:
|
|
cpus: '1'
|
|
memory: 2G
|
|
|
|
# Named volumes for persistence
|
|
volumes:
|
|
rag-optimized-models:
|
|
name: glam-rag-optimized-models
|
|
rag-benchmark-results:
|
|
name: glam-rag-benchmark-results
|