Technology
Weaviate
Weaviate implementation for production software delivery with clean architecture, maintainability, and predictable rollout.
Best For
Ideal use cases
Teams wanting open-source flexibility for retrieval systems
Products needing custom indexing and retrieval pipelines
Workflows requiring schema design with metadata filters
What We Build
Projects we deliver
Weaviate deployment and schema setup
Ingestion pipelines for documents and entities
Retrieval tuning with hybrid and reranking options
Ecosystem
Compatible tools & integrations
Seamless Integrations
Works with your existing stack
Use Cases
Recommended use cases
Enterprise knowledge bases
Semantic search for content platforms
RAG assistants with citations and filters
Delivery
How we deliver
We design Weaviate schemas around query patterns and access rules.
Ingestion pipelines support updates and re-indexing safely.
Retrieval quality is validated with evals and diagnostics.
FAQ
Frequently asked questions
It depends. Weaviate offers open-source flexibility; managed options reduce ops overhead. We recommend based on requirements.
Yes. We can deploy Weaviate with network controls, monitoring, backups, and runbooks for production use.
Yes. We can implement hybrid retrieval and reranking patterns on top of Weaviate where it improves relevance.
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
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