Weaviate Development Service
Senior engineers deploying Weaviate for vector search with hybrid retrieval, generative modules, and proper schema design.
When Weaviate Is the Right Vector DB
Weaviate is the vector database with the most built-in features: hybrid search, generative modules (call an LLM directly from a query), reranking modules, and a strong GraphQL query language. For teams that want vector search plus retrieval-augmented generation in a single system, Weaviate is the most batteries-included option.
The trade-off is operational complexity. Weaviate has more moving parts than Qdrant or Pinecone. Modules need to be configured at startup. Schema is more elaborate (classes, properties, vectorizer config). Resource requirements are higher per vector. For teams that just need pure vector search, Weaviate is often overkill.
Where Weaviate shines is multi-modal and generative-integrated workloads. Image search via CLIP modules. RAG with a built-in generative module that calls OpenAI/Cohere/Anthropic. Reranking modules that wire in Cohere or Voyage without custom code. The integration depth is what justifies the heavier operational footprint.
Cluster deployment via Kubernetes (Helm chart) is the recommended path. Single-node for small workloads, sharded cluster for production. Backup via S3 snapshots. Version upgrades require care — schema migrations between major versions are non-trivial.
AsyncForge has senior engineers shipping production Weaviate deployments. Submit cluster setup, schema design, module configuration, hybrid search, or migrations. Light 4 days, Standard 48 hours, Pro 1 day.
What You Get
Cluster deployment
Helm-based Kubernetes deploys with proper resource sizing, persistence, and S3 backup configuration.
Schema design
Class hierarchies, properties, vectorizer modules picked per use case. Cross-references for multi-class relationships.
Hybrid search
BM25 + dense vector via Weaviate hybrid queries. Alpha-tuned per dataset.
Generative modules
In-database RAG via generative-openai, generative-cohere, generative-anthropic modules. One query returns the answer.
Reranking modules
reranker-cohere or reranker-transformers wired into search pipelines. Top-50 → top-5 with much better quality.
Multi-modal
CLIP-based image-text search via multi2vec modules. PDF / image / text in the same index.
Technologies We Use
How It Works With AsyncForge
Subscribe
Plan picked.
Submit Weaviate work
Cluster, schemas, modules, hybrid, migrations.
We deliver
Tested, observable.
Iterate
Unlimited revisions.
Frequently Asked Questions
Learn More
Subscription vs Freelancers
See why startups are switching from freelancers to dev subscriptions.
Subscription vs Traditional Agency
How a development subscription compares to hiring a traditional agency.
Complete Guide to Productized Development
Everything you need to know about the productized development model.
How AsyncForge Works
From signup to shipped code in four simple steps.