Technology
pgvector
pgvector implementation for production software delivery with clean architecture, maintainability, and predictable rollout. Built for Germany teams with EU overlap (CET/CEST-friendly).
Best For
Ideal use cases
Teams already standardised on PostgreSQL
Products needing a simpler vector search setup initially
Workflows where Postgres operations and backups are already mature
What We Build
Projects we deliver
pgvector setup with schemas and indexes
Embedding storage and update workflows
Query patterns with filters and performance tuning
Ecosystem
Compatible tools & integrations
Seamless Integrations
Works with your existing stack
Use Cases
Recommended use cases
Semantic search in existing apps
RAG assistants with moderate scale needs
Multi-tenant systems with Postgres-based isolation patterns
Delivery
How we deliver
We validate performance and scale limits early to avoid surprises.
Retrieval quality is tuned with chunking and metadata patterns.
Operations follow your existing Postgres practices for reliability.
FAQ
Frequently asked questions
Often yes for moderate scale, especially when Postgres is already core. For very large workloads, a dedicated vector DB may be better.
Yes. We can pair pgvector with keyword search layers and reranking where it improves relevance.
Yes. We implement migrations, indexes, and performance tuning with rollback-safe workflows.
AI
Add AI on top of this stack
Two common AI services that pair well with this technology, plus a fixed-scope gig to start quickly.
Related
Explore related technologies
Regional
Delivery considerations for your region
Compliance & Data (EU)
For Germany/EU delivery, we keep GDPR-first patterns: data minimisation, purpose-limited storage, and explicit access boundaries.
We can work under a DPA (template available on request) and implement pragmatic retention/deletion flows when needed.
- GDPR-first architecture patterns (generic, no legal claims)
- DPA template available on request
- Retention/deletion and export flows where required
- Least-privilege access and safe logging defaults
- Documented data flows and access boundaries
Timezone & Collaboration (EU)
We align to EU working hours with CET-friendly collaboration windows and async progress updates.
We keep delivery predictable: weekly milestones, documented decisions, and clear scope control.
- EU overlap with CET-friendly windows
- Async-first delivery with written decisions
- Weekly milestone demos and progress checkpoints
- Clear change control to avoid surprises
- Escalation path for blockers and risks
Engagement & Procurement (EU)
We support procurement-friendly engagements with clear scopes, milestone plans, and documentation that stakeholders can review.
For EU teams, we can structure invoices and milestones for EUR-based engagements where appropriate.
- EUR-based engagements and invoicing options
- Discovery-first option to reduce delivery risk
- Milestone-based billing and scope sign-offs
- Vendor onboarding documentation on request
- Transparent change control and approvals
Security & Quality (EU)
We prioritise reliability: reviewable PRs, predictable releases, and tests that protect critical paths.
Performance budgets and clear release discipline keep the product stable as it grows.
- CI-friendly testing: unit + integration + smoke tests
- Performance budgets + bundle checks
- Release checklist + rollback-safe deployments
- Security checklist for auth and sensitive data flows
- Observability hooks (logs + error tracking) ready for production
Want to scope this properly?
Get a clear plan for Germany teams—scope, timeline, and next steps. EUR-based engagements.
Reply within 2 hours. No-pressure consultation.