Vector database development for fast, accurate semantic search
Our vector database development turns embeddings into fast, relevant search that powers retrieval-augmented generation and semantic discovery. We choose the right store for your scale and budget, whether that is Pinecone, Qdrant, Weaviate, Milvus, or pgvector inside your existing Postgres. We tune index types like HNSW, design metadata filters, and add hybrid search that blends dense vectors with keyword ranking for better recall. Moreover, we handle chunking, embedding model selection, re-indexing, and sharding as your corpus grows. We benchmark latency and recall on your own data rather than quoting generic numbers, and we are upfront about index memory cost and the tradeoffs between accuracy and speed.
What's included
- Pinecone, Qdrant, Weaviate, and pgvector setup
- HNSW indexing tuned for recall and latency
- Metadata filtering for scoped, permissioned results
- Hybrid search blending dense and keyword ranking
- Chunking and embedding model selection
- Re-indexing and sharding for growing corpora
A process that delivers
A clear, collaborative path from first conversation to a product in the hands of your users.
Discover & Strategy
We dig into your goals, users, and constraints to define the right thing to build, and why.
Design & Prototype
Wireframes, UI, and interactive prototypes you can test and feel before a line of code is written.
Build & Integrate
Senior engineers ship in tight iterations with clean, reviewed, well-tested code and clear demos.
Launch & Scale
We deploy, monitor, and keep improving, so your product grows with confidence, not chaos.
Vector Database Development questions
Common questions about our vector database development work.
It depends on scale, budget, and operations. Pinecone is fully managed and quick to start, Qdrant and Weaviate offer strong open-source control, and pgvector keeps everything inside Postgres if your data already lives there. Our vector database development starts by benchmarking candidates on your data, then recommending the option that balances recall, latency, and cost.
Related services
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LLM Integration
We integrate large language models into your product with streaming, structured outputs, evaluation, and sensible cost controls.
Backend Development
Backend development: secure APIs, databases, and server architecture built to scale and stay reliable.
Ready when you are
Let's build something that scales
Tell us what you're building. We'll bring the senior team, the clear process, and the engineering to make it real.