Weaviate agencies in Nuremberg

What sets Weaviate apart from pure vector databases

Weaviate combines classic keyword search, technically known as BM25, with semantic vector search in a single query and weighs the two sets of results against each other. That solves a problem pure vector search brings with it: exact terms like product numbers, names, or technical terms are sometimes missed by purely semantic systems, because they favor conceptually similar results over exact matches. For companies coming from classic full-text search who want to add semantic understanding, that's a natural upgrade path. Weaviate organizes data into its own classes with a defined schema, which requires more upfront planning than a simpler system but gives you a clear structure for more complex data models. The software is open source and can be self-hosted or used as a managed cloud service.

Which projects Weaviate suits

Weaviate works well for e-commerce product search, where customers sometimes search by exact model name and sometimes by a rough description, and for document portals with heavy technical vocabulary where exact term matches still matter. The benefit also shows up with multilingual content, since keyword matches stay tied to the relevant language while the semantic component adds conceptually related results. For simple use cases where pure similarity search is enough and there's no need for hybrid weighting, the extra configuration effort often isn't worth it, and a leaner solution like Qdrant or pgvector is enough.

What makes an experienced Weaviate agency

Ask about schema design experience, since unlike schemaless systems, data classes and their relationships in Weaviate need to be worked out in advance. Experience with weighting between keyword and vector search matters too, so results actually match what your users expect instead of skewing one way. Looking at projects already running in production also shows whether the agency is familiar with actual operations, not just the initial build. Also check whether the agency is equally comfortable with self-hosting and the managed cloud option, and how it handles schema changes during live operation without putting existing data at risk.

What a Weaviate implementation costs

Connecting it to an existing application usually costs €10,000 to €25,000. A complete search or RAG solution with schema design, self-hosting, and scaling runs €30,000 to €90,000. Agencies with this specialization charge €100 to €170 per hour, and with the cloud option, ongoing usage fees come on top.

Category, search, and related technologies

The RAG agencies category gives the full overview, filtered by technology through search. Without a need for hybrid search, it's worth comparing Qdrant or, if you already have a Postgres database, pgvector. For a specific project, a short project request is enough.