Hire for pgvector Mastery
pgvector is the strategic choice for building **Retrieval-Augmented Generation (RAG)** without adding a separate, complex vector database. It transforms PostgreSQL into a powerful engine for vector similarity search. You need an engineer who can architect a unified data strategy for AI. Our vetting identifies experts who use pgvector to build scalable, maintainable, and cost-effective RAG systems by leveraging the database you already trust.
Sound Familiar?
Common problems we solve by providing true pgvector experts.
The Architectural Complexity of a Separate Vector Database
The Problem
To build a RAG application, you’re forced to add a specialized vector database to your stack. This means more infrastructure to manage, complex data synchronization pipelines, and another point of failure.
The TeamStation AI Solution
A pgvector expert simplifies your entire AI stack. They build the vector search capability directly into your primary PostgreSQL database, eliminating data silos and the need for complex ETL between your relational data and your embeddings.
Proof: Reduce the infrastructure complexity and operational overhead of your RAG stack by 50%.
Disconnected Relational Data and Vector Embeddings
The Problem
Your user data is in Postgres, but your vector embeddings are in another system. Performing hybrid searches—filtering by user metadata *before* doing a vector search—is slow, complex, and requires custom code.
The TeamStation AI Solution
Our pgvector specialists build integrated data solutions. Because the vectors live alongside your relational data, they can write simple, powerful SQL queries that combine metadata filtering and vector similarity search in a single, efficient operation.
Proof: Accelerate hybrid search query performance by 10x compared to a two-database solution.
High Cost and Vendor Lock-in of Specialized Databases
The Problem
Managed vector database services are expensive and lock you into a proprietary ecosystem. You are paying a premium for a capability that is becoming a commodity.
The TeamStation AI Solution
A TeamStation pgvector engineer empowers you to own your AI stack. By leveraging a powerful open-source extension on a database you already manage, you can avoid vendor lock-in and dramatically reduce the total cost of ownership for your RAG application.
Proof: Reduce managed database costs by up to 80% for typical RAG workloads.