Softment
AIRAG systems, search, recommendations

Technology

Vector Databases

Implement vector search with the right retrieval strategy—embeddings, indexing, filters, and performance tuning designed for real products.

Best For

Ideal use cases

Applications requiring semantic search

RAG (Retrieval Augmented Generation) systems

Recommendation engines

Similarity search applications

Projects with large embedding datasets

What We Build

Projects we deliver

RAG systems for chatbots

Semantic search applications

Document similarity systems

Recommendation engines

Content discovery platforms

Question-answering systems

Knowledge bases with search

Personalization systems

Ecosystem

Compatible tools & integrations

Seamless Integrations

Works with your existing stack

7+ supported
Pinecone for managed vector database
Weaviate for open-source vector search
OpenAI Embeddings API
LangChain for orchestration
Chroma for local development
Qdrant for self-hosted option
pgvector for PostgreSQL integration

Use Cases

Recommended use cases

Chatbots needing context from documents

E-commerce product recommendations

Content platforms with semantic search

Knowledge bases with question-answering

Applications requiring similarity search

Delivery

How we deliver

We design vector database schemas for optimal query performance

Implement proper embedding generation and storage

Set up hybrid search (vector + keyword) when needed

Optimize index configuration and query parameters

Implement proper data synchronization and updates

FAQ

Frequently asked questions

Pinecone is best for managed, production-ready solutions. Weaviate offers open-source flexibility. pgvector works well if you're already using PostgreSQL. We recommend based on your requirements.

We use OpenAI's embeddings API, sentence-transformers, or other embedding models. We choose models based on your data type and language. Embeddings are generated during indexing and stored in the vector database.

Yes. We can self-host Weaviate, Qdrant, or use pgvector with PostgreSQL. Self-hosting offers more control but requires infrastructure management. Managed services like Pinecone simplify operations.

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
Ready to start?

Want to scope this properly?

Need vector search for DE users? Share your data and queries and we’ll propose the right architecture. EUR-based engagements.

Reply within 2 hours. No-pressure consultation.