A vector database, vector store or vector search engine is a database that stores and retrieves embeddings of data in vector space. Vector databases typically implement approximate nearest neighbor algorithms so users can search for records semantically similar to a given input, unlike traditional databases which primarily look up records by exact match. Use-cases for vector databases include similarity search, semantic search, multi-modal search, recommendations engines, object detection, and retrieval-augmented generation (RAG).
1 job · 1 company · last seen 15 May 2026
There are currently 1 open role in Berlin that mention pgvector, posted by 1 company. It frequently pairs with SQL, JavaScript, TypeScript. Seen most in AI/ML (1% of their roles).
Frequently asked questions
- How many pgvector jobs are available in Berlin right now?
- There are currently 1 open role in Berlin that mention pgvector, posted by 1 company. The board is refreshed multiple times a day — more frequently during Berlin working hours — so new roles can appear throughout the day.
- Which companies in Berlin are hiring for pgvector?
- Companies currently listing the most pgvector roles include: Supabase.
- What skills pair well with pgvector?
- Employers who ask for pgvector also frequently require: SQL (100%), JavaScript (100%), TypeScript (100%), PostgreSQL (100%), Agentic AI (100%).
- In which Berlin job roles is pgvector most in demand?
- Based on current listings, pgvector appears most in: AI/ML (1%) roles.
Frequently paired with
By seniority
- Mid 100% (1)
By job family
% of open roles in each family that mention pgvector
- AI/ML 1% (1/158)
By company
Top companies looking for pgvector
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Supabase 1
Open roles mentioning pgvector
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