Elasticsearch Vector Search for AI-Powered Product Search
Can your customers just ask your site for what they want?
SquareShift builds Elasticsearch vector search on your catalog. We combine it with semantic and keyword search to help shoppers find, compare, and buy.
Every search that fails is a sale you lose.
Search is becoming a conversation. Your customers just ask, in their own words — and expect the right answer back.
- Keyword search matches words, not meaning. Ask for “an SUV for a family of six for long summer road trips” and it can return zero results — even when the lot is full of them.
- The shopper doesn’t reach for filters. They leave. A failed search is revenue walking out the door.
We build search that reads intent — so those queries return the right vehicles, ranked and tuned on your own catalog.
SquareShift builds AI search that understands what your customers mean.
Groceries, furniture, watches, vehicles, travel — anywhere people describe what they want and expect the right options back. Different query, same job. Brands shown are fictional examples, not clients.
How keyword, semantic and vector search work together
It runs on Elastic. Elasticsearch is the retrieval engine — keyword, semantic, vector, and hybrid in one platform. Here is how a plain-language query becomes the right result.
BM25Exact-term match for specs and names.ELSERMatches meaning, not just terms.kNNNearest matches over embeddings.Elasticsearch is the retrieval engine; labels are capability names, not a fixed configuration.
The retrieval foundation, built on Elastic
Semantic search
ELSER, Elastic’s native model for retrieval, matches on meaning — so ‘dressy watch’ finds elegant automatics it never shared a keyword with.
Elastic vector search
kNN over dense embeddings finds close matches. Bring your own model — OpenAI, Google, Cohere, or open-source.
Hybrid search on Elasticsearch
BM25 exact-term and vector signals fused with RRF in one query — built for catalogs that carry both technical specs and natural-language descriptions.
Elasticsearch vector search consulting
We design and build this retrieval layer on your catalog — choosing where semantic, vector, and hybrid each earn their place.
AI answers grounded in your catalog, not a page full of blue links
A shopper asks a real question and gets one specific answer built from your catalog, with the options cited — not ten blue links to sort through. It is the shopper-facing answer layer.
Reads what it retrieved
The generative layer sits on top of hybrid search — it reads the products just retrieved and composes one direct answer.
Grounded, with sources
It answers only from your catalog, every claim cited — not a free-form guess.
Falls back when unsure
Low confidence? It returns the ranked results instead. No bluffing.
Four engagements
Solutions we’ve crafted for our clients.
Parts Found From Fragments and Typos for a Replacement Parts Distributor
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02 / Retail
Product Search Built From Nothing for an Online Print Retailer
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03 / Professional Services
Consistent Search Results Across Every Source for a Big 4 Firm
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04 / Aviation
One Search Across Five Domains and Five Languages for a US Airline
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Choose from our starter solutions — packaged, scoped, and priced.
Every engagement is fixed-scope and outcome-first.
Start free to prove the value, then buy the exact improvement your catalog needs.
AI Search Readiness Assessment
Find where your search leaks revenue, and how much.
Zero-results, weak ranking, and missed-intent gaps, quantified · A prioritized, costed roadmap you can act on
AI Answers POC
See grounded, cited answers on your own catalog before you commit.
A working answer demo on a slice of your real data · Proof of value with no build commitment
Relevancy Tuning
Ranking tuned to your catalog and how customers actually search.
Relevance tuned on your products and real query mix · Lift on your top revenue-driving queries
Search Performance & Scale Tuning
Fast, stable search under real and peak load.
Latency and stability tuned for peak traffic · Headroom for catalog and query growth
Zero-Results Recovery
Fix the searches that return nothing and lose the sale.
The exact queries returning zero or converting poorly · Fixes shipped for the top revenue-leaking gaps
Semantic + Hybrid Search Build
Go from keyword to intent-aware search on your catalog.
Semantic, vector, and hybrid retrieval built on your data · Keyword search replaced with intent-aware discovery
Credentials
Partner proof behind the search we build.
Elastic credentials for the retrieval layer, Google Cloud credentials for the data and AI around it.
Elastic Generative AI Partner
Google Cloud Premier Partner
Looker Consulting Partner
Google Cloud Generative AI
Machine Learning Specialization
Data Analytics Specialization
- Elastic Premier Partner Search relevance and Elastic delivery credential.
- Anthropic Claude Partner Applied AI and Claude implementation.
See it work on your own catalog.
Bring one catalog, or one find-and-choose journey that leaks revenue. We’ll work through what intent-aware search does with it — on your data, not a demo set.