Hire for pgvector/Pinecone Mastery
Your RAG system's performance depends entirely on the quality of your retrieval, and that requires a robust vector database. You need an engineer who understands vector indexing strategies, metadata filtering, and the trade-offs of hybrid search. You're here to find an expert in pgvector, Pinecone, or Weaviate who can build and scale the retrieval backbone of your AI application.
Sound Familiar?
Common problems we solve by providing true pgvector/Pinecone experts.
Is your vector search slow and inaccurate?
The Problem
A brute-force vector search is too slow for production. You need an index, but choosing the right one is critical for the trade-off between speed and accuracy.
The TeamStation AI Solution
We find engineers who understand the trade-offs between different Approximate Nearest Neighbor (ANN) index types, such as IVF and HNSW, and can choose and tune the right index for your specific use case.
Proof: Expertise in vector index tuning
Are you unable to filter your vector search by user ID or other metadata?
The Problem
Pure vector search is not enough. You need to be able to apply filters to your search to respect permissions or other business logic.
The TeamStation AI Solution
Our engineers are experienced in using metadata filtering alongside vector search to perform complex, filtered queries that are both fast and accurate.
Proof: Proficiency in metadata filtering
Is your vector search missing relevant documents because of keyword mismatches?
The Problem
Semantic search is powerful but can sometimes miss documents that have important keyword matches. You need a combination of both.
The TeamStation AI Solution
We look for engineers with experience in hybrid search, which combines traditional keyword-based search (like BM25) with semantic vector search to get the best of both worlds.
Proof: Experience with hybrid search
Our Evaluation Approach for pgvector/Pinecone
For roles requiring deep pgvector/Pinecone expertise, our Axiom Cortex™ evaluation focuses on practical application and deep system understanding, not just trivia. We assess candidates on:
- Vector indexing strategies (IVF, HNSW) and their trade-offs
- The importance of metadata filtering for accuracy
- Hybrid search concepts (keyword + vector)
- Scaling vector search for large datasets
- Data ingestion and embedding pipelines
Ready to Hire Elite pgvector/Pinecone Talent?
Stop sifting through unqualified resumes. Let us provide you with a shortlist of 2-3 elite, pre-vetted candidates with proven pgvector/Pinecone mastery.
Book a No-Obligation Strategy Call