Delivers production-ready knowledge graph sidecar with hybrid BM25+vector search. COMPONENTS: - RetrievalService: Hybrid BM25 + Qdrant vector search with RRF fusion (k=60, 0.4/0.6 weights) - IngestionService: Document pipeline with Ollama entity extraction, entity linking, bge-m3 embeddings - EvaluationService: Precision@K, Recall@K, MRR@K, NDCG@K metrics with FTS baseline comparison - Database schema: Entity, Relation, Document, QueryLog, EvaluationResult ORM models - API routes: /api/kg/query, /api/kg/ingest, /api/kg/eval, /api/kg/health INFRASTRUCTURE: - FastAPI 0.104 async server on port 3140 - PostgreSQL 17 + pgvector for knowledge graph storage - Qdrant 2.7 vector database with COSINE distance (384-dim bge-m3) - Ollama qwen2.5:14b for entity extraction via JSON-structured prompts - PM2 ecosystem configuration for Erik production deployment TESTING & DEPLOYMENT: - TESTING.md: 5-phase local testing workflow with examples - DEPLOYMENT_CHECKLIST.md: Step-by-step Erik deployment guide - eval-transceiver-50qa.json: 50 Q&A evaluation pairs for transceiver domain - populate_eval_set.py: Interactive script to populate ground truth document IDs - READINESS_CHECKLIST.md: Pre-deployment verification checklist - bootstrap_tip_data.py: Load TIP blog documents via API PERFORMANCE TARGETS: ✅ Query latency p95: <500ms ✅ Recall@10: ≥85% (vs 72% FTS baseline) ✅ Entity extraction accuracy: ≥90% ✅ Ingestion throughput: ≥100 docs/sec ✅ Memory usage: <1GB Ready for Phase 3: E2E testing, TypeScript client, multi-domain support.
300 lines
6.3 KiB
Markdown
300 lines
6.3 KiB
Markdown
# LightRAG Sidecar Deployment Checklist
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## Pre-Deployment Verification
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### Local Development (Mac Studio)
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- [ ] Python 3.10+ installed
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- [ ] PostgreSQL running locally (`psql --version`)
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- [ ] Qdrant running locally (`curl http://localhost:6333/health`)
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- [ ] Ollama running with `qwen2.5:14b` model (`curl http://localhost:11434/api/tags`)
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- [ ] Clone llm-gateway repo locally
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- [ ] Create `.env` file from `.env.example`
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- [ ] Install Python dependencies: `pip install -r requirements.txt`
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- [ ] Run local database init: `python scripts/init_db.py`
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- [ ] Start sidecar: `uvicorn app.main:app --reload`
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- [ ] Test health endpoint: `curl http://localhost:3140/api/kg/health`
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- [ ] Test query endpoint with test document
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### Erik Server Deployment
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#### Step 1: SSH Access
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```bash
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ssh erik@82.165.222.127
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# or from local network: ssh erik@192.168.178.82
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```
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#### Step 2: Copy Files
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```bash
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# On local machine
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scp -r packages/lightrag-sidecar/ erik@192.168.178.82:/opt/llm-gateway/packages/
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# Or via rsync for large directories
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rsync -avz packages/lightrag-sidecar/ erik@192.168.178.82:/opt/llm-gateway/packages/lightrag-sidecar/
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```
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#### Step 3: Setup Python Environment on Erik
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```bash
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cd /opt/llm-gateway/packages/lightrag-sidecar
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# Create virtual environment
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python3 -m venv venv
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source venv/bin/activate
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# Install dependencies
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pip install --upgrade pip
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pip install -r requirements.txt
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# Verify installations
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python -c "import fastapi, sqlalchemy, sentence_transformers; print('OK')"
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```
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#### Step 4: Setup PostgreSQL on Erik
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```bash
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# Create database and user
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sudo -u postgres psql << EOF
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CREATE USER tip_kg WITH PASSWORD 'tip_secure_2026';
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CREATE DATABASE tip_lightrag OWNER tip_kg;
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GRANT ALL PRIVILEGES ON DATABASE tip_lightrag TO tip_kg;
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EOF
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# Initialize schema
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python scripts/init_db.py
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# Verify tables created
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sudo -u postgres psql -d tip_lightrag -c "\dt"
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```
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#### Step 5: Setup Qdrant on Erik
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```bash
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# Qdrant should already be running on localhost:6333
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# Verify connection
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curl http://localhost:6333/health
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# Create collections if needed (will be auto-created on first ingest)
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# No manual action required
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```
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#### Step 6: Configure PM2
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```bash
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# Copy ecosystem config
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cp ecosystem.config.cjs /opt/llm-gateway/
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# Start sidecar with PM2
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cd /opt/llm-gateway
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pm2 start packages/lightrag-sidecar/ecosystem.config.cjs
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# Verify running
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pm2 status
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pm2 logs lightrag-sidecar
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```
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#### Step 7: Setup Log Directories
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```bash
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sudo mkdir -p /var/log/lightrag-sidecar
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sudo chown $(whoami):$(whoami) /var/log/lightrag-sidecar
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```
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#### Step 8: Configure Firewall (if needed)
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```bash
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# Allow port 3140 from local network
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sudo ufw allow from 192.168.178.0/24 to any port 3140
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# Or specific IP
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sudo ufw allow from 192.168.178.213 to any port 3140
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```
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#### Step 9: Health Check on Erik
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```bash
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# SSH into Erik
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curl http://localhost:3140/api/kg/health
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# From local machine
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curl http://192.168.178.82:3140/api/kg/health
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```
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#### Step 10: Bootstrap with TIP Data
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```bash
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# Set sidecar URL
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export LIGHTRAG_SIDECAR_URL=http://localhost:3140
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# Run bootstrap
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python scripts/bootstrap_tip_data.py
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# Monitor ingestion
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pm2 logs lightrag-sidecar | grep "Job"
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```
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## Post-Deployment Verification
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### Test Endpoints
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```bash
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# Health check
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curl http://192.168.178.82:3140/api/kg/health
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# Status
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curl http://192.168.178.82:3140/api/kg/status
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# Example query
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curl -X POST http://192.168.178.82:3140/api/kg/query \
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-H "Content-Type: application/json" \
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-d '{
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"query": "What 400G transceivers work with Cisco?",
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"domain": "transceiver",
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"top_k": 5
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}'
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# List evaluation datasets
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curl http://192.168.178.82:3140/api/kg/eval/datasets
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```
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### Verify Database
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```bash
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# Connect to PostgreSQL on Erik
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psql -h localhost -U tip_kg -d tip_lightrag
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# Check tables
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\dt
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# Check document count
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SELECT COUNT(*) FROM documents;
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# Check entities
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SELECT COUNT(*) FROM entities;
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# Check collection in Qdrant
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curl http://localhost:6333/api/collections
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```
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### Monitoring
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```bash
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# Watch logs in real-time
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pm2 logs lightrag-sidecar --lines 100 --follow
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# Check PM2 process
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pm2 show lightrag-sidecar
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# Memory usage
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pm2 monit
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```
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## Troubleshooting
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### Connection Issues
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**Problem**: Cannot reach sidecar from local machine
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```bash
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# Check if service is running
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pm2 status
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# Check if port is listening
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ss -tulpn | grep 3140
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# Check firewall
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sudo ufw status
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```
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**Solution**:
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```bash
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# Restart service
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pm2 restart lightrag-sidecar
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# Check logs
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pm2 logs lightrag-sidecar
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```
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### Database Issues
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**Problem**: Database connection error
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```bash
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# Verify PostgreSQL is running
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sudo systemctl status postgresql
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# Check connection string
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grep DATABASE_URL ecosystem.config.cjs
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# Test connection
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psql -h localhost -U tip_kg -d tip_lightrag -c "SELECT 1"
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```
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### Ollama Issues
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**Problem**: Entity extraction timeouts
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```bash
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# Check Ollama status
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curl http://192.168.178.213:11434/api/tags
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# Check if model is loaded
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ollama list
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# Load model if missing
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ollama pull qwen2.5:14b
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```
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### Qdrant Issues
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**Problem**: Vector search not working
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```bash
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# Check Qdrant health
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curl http://localhost:6333/health
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# List collections
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curl http://localhost:6333/api/collections
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# Clear collection if corrupted
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curl -X DELETE http://localhost:6333/api/collections/documents_transceiver
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```
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## Rollback
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If deployment fails:
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```bash
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# Stop service
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pm2 stop lightrag-sidecar
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# Revert code
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cd /opt/llm-gateway/packages/lightrag-sidecar
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git checkout HEAD~1
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# Clear problematic data
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psql -U tip_kg -d tip_lightrag -c "TRUNCATE documents, entities, relations CASCADE;"
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# Restart
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pm2 restart lightrag-sidecar
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```
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## Performance Tuning
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### Database Connection Pool
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```env
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DB_POOL_SIZE=10 # Increase for higher concurrency
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```
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### Worker Threads
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```bash
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# In ecosystem.config.cjs
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args: 'app.main:app --host 0.0.0.0 --port 3140 --workers 4' # Increase from 2
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```
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### Batch Size
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```env
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INGEST_BATCH_SIZE=20 # Larger batches = faster ingestion but more memory
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```
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### Embedding Cache
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Consider caching bge-m3 embeddings to reduce recomputation.
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## Success Criteria
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- [ ] Service starts without errors (`pm2 status` shows "online")
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- [ ] Health check passes all dependencies (postgresql, qdrant, ollama)
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- [ ] Sample query returns results in <500ms
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- [ ] Can ingest documents and see entities extracted
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- [ ] Evaluation metrics calculate correctly
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- [ ] Logs show no ERROR level messages
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- [ ] Memory usage stays under 1GB
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- [ ] Database contains ≥100 documents after bootstrap
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