Basic Package
Pinecone/pgvector index set up, up to 100k vecto
$269USD / one-time
3-day delivery1 round + 30-day fixes
- Pinecone/pgvector index set up, up to 100k vectors ingested
Omeiro Cloud & Software Engineering
Vector Database Services
Packages & Pricing.
Fixed-price vector database consulting with clear deliverables. Production vector infrastructure. Pinecone, Milvus, and pgvector index tuning, metadata filtering, high-dimensional similarity clustering, and zero-loss index rollouts. From $269.
Clear Delivery Times
Revisions Included
Packages
Choose your Vector DB Ops & Pinecone package
Production vector infrastructure. Pinecone, Milvus, and pgvector index tuning, metadata filtering, high-dimensional similarity clustering, and zero-loss index rollouts.
Standard Package
Index tuning, metadata filters, hybrid search, u
$829USD / one-time
8-day delivery1 round + 30-day fixes
- Index tuning, metadata filters, hybrid search, up to 1M vectors
Premium Package
Production cluster, zero-downtime reindexing, mo
$1,899USD / one-time
16-day delivery1 round + 60-day fixes
- Production cluster, zero-downtime reindexing, monitoring, 30 days support
Vector database consulting for search and RAG
Vector database consulting helps AI features find the right content by meaning rather than by exact words. Omeiro sets up Pinecone, Milvus or pgvector, tunes indexes, adds metadata filters and hybrid search, and rolls out new indexes with no downtime.
Packages scale by the number of vectors.
Building a vector database for search and RAG
A vector database is only as good as what goes into it. Chunk size, embedding model and metadata decide whether search returns relevant passages. Bring a sample of your documents, the questions users ask and any fields to filter on, such as customer, language or date. Basic sets up Pinecone or pgvector with up to 100k vectors, a sensible size for a pilot.
Quality needs measuring, not guessing. We test a set of known questions against the index and tune parameters until the right results rank near the top. Standard adds metadata filters, hybrid search and up to 1M vectors, and Premium adds zero-downtime reindexing and monitoring. A tuned vector database gives your assistant accurate context, keeps answers fast and lets you change embedding models later without an outage.
Who needs a vector store
- Teams building RAG chatbots over company documents.
- Product owners adding semantic search to an app.
- Buyers seeking pinecone implementation services.
- Developers needing rag vector database setup or vector search development services.
What each package includes
- Basic: Pinecone or pgvector with up to 100k vectors ingested.
- Standard: index tuning.
- Standard adds metadata filters, hybrid search and up to 1M vectors.
- Premium: a production cluster.
- Premium includes zero-downtime reindexing, monitoring and 30 days of support.
How a vector index is built
1
Choose the store
Pinecone, Milvus or pgvector is picked to match your stack.
2
Ingest the embeddings
Your vectors and metadata are loaded.
3
Tune the index
Settings are adjusted to balance recall against speed.
4
Operate it
Monitoring watches queries, and reindexing happens without taking search down.
Why Omeiro for vector databases
Prices upfront
Packages cost $269, $829 or $1,899, one-time.
Delivery times
Work arrives in 3, 8 or 16 days.
Neighbours
Model serving and Elasticsearch work sit in the same Software & Cloud Engineering division.
FAQ
Vector Database Consulting: common questions
Vector Database Consulting pricing: how much does it cost?
Fixed packages: Basic $269, Standard $829, Premium $1,899. You see the full price before you order, and you can also ask for a custom quote.
How long does Pinecone implementation take?
Delivery depends on the package: Basic 3-day delivery; Standard 8-day delivery; Premium 16-day delivery.
What is included in the Basic Package?
The Basic Package includes: Pinecone/pgvector index set up, up to 100k vectors ingested. Higher packages add more scope, revisions and support.
Can I get a custom vector search development package?
Yes. If none of the packages fits, use the custom package form on this page to describe what you need, and our team sends you a fixed price.
pgvector or Pinecone?
pgvector suits teams already on Postgres, while Pinecone is a managed service. Basic supports either.
Do you create the embeddings?
The packages cover ingesting vectors you provide or generate. Tell us your embedding model before ordering.
What is hybrid search?
It combines keyword matching with vector similarity. Standard includes it.
Can the index be rebuilt without downtime?
Premium includes zero-downtime reindexing.
How do I choose a chunk size for documents?
Chunks should be large enough to carry meaning yet small enough to match one topic. We test a few sizes against your real questions and keep the one that retrieves best.
What happens when I switch to a new embedding model?
All documents must be re-embedded, because vectors from different models cannot be compared. A zero-downtime reindex builds the new index beside the old and switches when ready.
Custom Package
Didn't find what you're looking for?
Need a different number of concepts, a full brand kit, a faster deadline or something else? Tell us what you need and we'll put together a custom package for you, usually within 24 hours.
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Every market sector has unique trust markers, visual standards, and buyer expectations. Explore our specialized solutions.
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Secure patient web portals, clinic branding & local patient SEO.
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High-authority law practice identities, case lead funnels & reputation.
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