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 (AU)

For Australian teams, we keep privacy and data-handling explicit: access boundaries, safe logging, and clear retention policies.

We can support residency-sensitive designs (where feasible) and document data flows for stakeholder review.

  • Privacy Act-aware delivery posture (generic, no legal claims)
  • Documented data flows and access boundaries
  • Retention/deletion options where required
  • PII-safe logging and least-privilege defaults
  • NDA and DPA templates available on request

Timezone & Collaboration (APAC)

We support APAC collaboration with AEST/AEDT-friendly meeting windows and async progress updates.

We keep momentum with weekly milestones, crisp priorities, and predictable release planning.

  • APAC overlap with AEST/AEDT windows
  • Async-first updates and written decisions
  • Weekly milestone demos and scope control
  • Release planning with staged rollouts
  • Clear escalation path for blockers

Engagement & Procurement (AU)

We can structure engagements with clear scope, milestones, and invoicing that fits common procurement expectations.

If you need a lightweight vendor onboarding pack, we can provide delivery process notes and security posture summaries.

  • AUD-based engagements and invoicing options
  • Milestone-based billing for fixed-scope work
  • Time-and-materials for evolving scope
  • Procurement-friendly documentation on request
  • Optional paid discovery to de-risk delivery

Security & Quality (APAC)

With APAC teams, async clarity matters: written decisions, stable releases, and test coverage that prevents regressions.

We use performance budgets and release checklists so handoffs stay smooth across timezones.

  • CI-friendly testing: unit + integration + smoke tests
  • Performance budgets + bundle checks
  • Release checklist + rollback plan for production launches
  • 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 AU users? Share your data and queries and we’ll propose the right architecture. AUD-based engagements.

Reply within 2 hours. No-pressure consultation.