Enterprise Weaviate Engineering
The open-source, schema-driven vector database, built to store and search data objects and vectors. We design, optimize, and deploy production-grade architectures utilizing the full capabilities of the Weaviate ecosystem.
Weaviate
Production Certified
Weaviate is our vector database of choice for deployments requiring local hosting and strict schema structures. We build schema models, configure hybrid search indexes, and deploy Weaviate instances on Kubernetes.
Our Weaviate Engineering Services
We deliver highly specialized, production-ready systems tailored to your technical requirements.
Weaviate Schema Design
We design Weaviate classes, mapping properties, data types, and configuring vector index settings.
On-Premise Deployment
We host Weaviate instances locally using Docker or Kubernetes, keeping vector data within your secure VPC.
Hybrid & BM25 Search
We configure Weaviate's hybrid search, combining vector calculations with keyword BM25 algorithms.
Data Object Upserts
We build batch upsert pipelines in Weaviate, importing text and vector files.
Weaviate Tooling & Stack Integrations
We operate across the entire modern ecosystem surrounding Weaviate, deploying optimized dependencies and configurations.
Weaviate Stack
Core Weaviate clients and query tools.
Module Integrations
Internal Weaviate vectorizer modules.
Hosting & Operations
Tools used to host Weaviate servers.
Production-Grade Engineers
Top 1% Seniority
Experienced database engineers specializing in Weaviate schemas.
Immediate Velocity
Successful on-premise deployments of Weaviate inside secure VPCs.
Compliance Native
Optimized query structures utilizing GraphQL endpoints.
Proven Results with Weaviate
Explore how we leverage Weaviate to build business-critical platforms and achieve operational milestones.
Weaviate Search Index Powers Contract Audit Tool
We hosted Weaviate locally inside a private VPC, indexing legal document clauses and keeping queries secure.
Medical Document Index Reconciles Patient Records
Built a Weaviate schema to index clinical case reports, running semantic search queries across patient notes.
Flexible Engagement Models
Scale your engineering capacity dynamically. We integrate seamlessly into your operations with three battle-tested engagement models.
Staff Augmentation
Inject senior AI and MLOps engineers directly into your active squads. Rapidly scale resources with dedicated support under your management.
Dedicated Team
A self-governing team of engineers, project managers, and QA specialists built specifically to design, build, and support your proprietary AI pipelines.
Full Build & Deliver
Fixed-scope or milestone-driven development. We take ownership from requirements definition and MVP design to final production handoff.
Compliance-First Deployment Standards
We integrate safety controls natively. Every Weaviate application is architected to satisfy strict global compliance and privacy policies.
SOC 2 Type II
Logical isolation & logs
HIPAA PHI
PHI data de-identification
ISO/IEC 27001
International safeguards
Common Weaviate Questions
Why do you use Weaviate over Pinecone? expand_more
What is hybrid search in Weaviate? expand_more
How do you secure Weaviate databases? expand_more
What vectorizers does Weaviate support? expand_more
How do you query Weaviate? expand_more
Accelerate Your AI Project with Weaviate
Schedule an architectural blueprint review session with our senior Weaviate engineers to map your database, compliance, and MLOps strategies.