01
Find the right result sooner
Match the need behind a search, even when the shopper does not know the exact product name.
Intent-aware product discovery
Your customers think in ideas.Your search engine thinks in keywords.
Querix AI understands customer intent and helps shoppers find the products they are actually looking for—even when they search using vague, incomplete, or natural-language queries.
Natural-language queriesExact filter controlAPI-first integration
Built for high-intent discovery across
E-commerce storefronts
Marketplaces
Product catalogs
Classifieds and listings
Why search loses shoppers
Customers describe a need. Most search boxes wait for a matching word.
A shopper should not need to understand your catalog vocabulary before they can buy from you. Querix closes the gap between how people express intent and how product data is organized.
Keyword-only search hears
No exact match: “something elegant for an outdoor evening wedding”
- The shopper used a need, not a product name.
- Relevant attributes live across inconsistent catalog fields.
- A minor vocabulary mismatch becomes a dead end.
Querix understands
Occasion
Outdoor evening wedding
Desired style
Elegant
Likely categories
Apparel, lighting, decor
Search approach
Intent + exact inventory filters
The shopper sees useful, current products ranked around their goal—not a blank page or an arbitrary keyword match.
The shopper experience
We will never let your customers get stuck anywhere.
Watch Querix interpret representative searches across products and listings, preserve every explicit constraint, and rank the most relevant current inventory.
Intent search
Query 1 of 5
cotton blue shirt for office under ₹1,000
Interpreting natural language
Intent and constraints
blue office shirtcotton fabricformal styleunder ₹1,000
Solid blue cotton formal shirt
01Regular fit · full sleeves · ₹899
Matches colour, fabric, office use, and budget
Sky-blue cotton office shirt
02Tailored fit · breathable weave · ₹949
A polished workwear option within budget
Blue Oxford cotton-blend shirt
03Smart-casual fit · easy care · ₹799
Relevant lower-priced office alternative
Meaning → filters → ranked inventory
What changes for your business
Make product discovery feel effortless.
Querix helps teams improve the experience at the exact moment a shopper expresses intent—without forcing a complete storefront rebuild.
02
Respect every constraint
Keep stated filters such as category, location, price, duration, and listing type authoritative.
03
Recover difficult searches
Handle vague language, typos, multilingual wording, and unusual descriptions without a brittle synonym maze.
How Querix works
One search flow. The right path for every query.
Simple catalog searches stay fast and deterministic. Descriptive, ambiguous, misspelled, or multilingual searches use the semantic path.
01
Understand
Read the intent behind the query
Identify goals, entities, explicit constraints, ambiguity, spelling variation, and tenant-specific language.
02
Retrieve
Find candidates through two lenses
Combine semantic meaning with keyword precision, then preserve hard catalog filters and exact customer constraints.
03
Rank
Order results around the customer
Fuse the strongest candidates, shape them around intent, and apply a hosted reranker when available.
04
Return
Hydrate current, approved data
Fetch the latest public product fields from the canonical catalog before returning tenant-safe results.
Built for dependable relevance
Intelligent where it matters. Predictable where it counts.
AI search only earns trust when it respects the catalog, the customer, and the rules your business depends on.
Explore platform behaviorUnderstands intent
Interprets what the shopper wants, not only the terms that happen to appear in the catalog.
Balances meaning and precision
Combines semantic retrieval with lexical matching so intent, product names, and rare exact terms all matter.
Keeps hard filters hard
Explicit customer constraints stay enforced while inferred preferences guide ranking instead of hiding good alternatives.
Returns current catalog data
Ranks candidate IDs, then hydrates approved fields from the canonical catalog before results reach the shopper.
Isolates every tenant
Credentials, limits, indexes, cache state, cursors, usage, and response fields remain company-scoped.
Degrades gracefully
Vector and keyword retrieval can cover for one another, while reranker failure retains the fused result order.
The Querix platform
Three connected layers. One reliable discovery experience.
Querix connects a controlled data lifecycle, an intent-aware serving layer, and audience-specific analytics so teams can improve search from ingestion through outcome.
Data foundation
Catalog intelligence pipeline
Reads company source data, normalizes it, composes retrieval content, validates the result, and optionally promotes a complete search-ready dataset atomically.
- Read-only source access
- Company-specific normalization
- Validation before publishing
- Incremental change handling
Search intelligence
Intent-aware search API
Routes exact requests efficiently, combines pgvector and BM25 for harder queries, reranks the strongest candidates, and returns fresh tenant-approved catalog fields.
- Hosted API—no search infrastructure to deploy
- Deterministic and semantic routes
- Hybrid candidate retrieval
- Tenant-scoped controls
Outcome intelligence
Audience-specific analytics
Gives company teams focused demand and marketplace insight while keeping provider, token, latency, and query diagnostics inside the internal operations boundary.
- Atomic daily snapshots
- Filterable search activity
- Company and internal separation
- Query and provider diagnostics
Designed for real production boundaries
Your search layer should be intelligent—not mysterious.
Querix exposes clear request contracts, tenant-safe diagnostics, bounded fallbacks, and operational health signals so product and engineering teams can ship with confidence.
Checking live readiness
Public serving-path signal
Server-side keys
Permanent tenant credentials stay behind your backend boundary.
Tenant isolation
Search resources and public response fields are company-scoped.
Clear API contract
Typed requests, cursor pagination, and explicit error behavior.
Start with your hardest searches
Show us where your customers get stuck.
Bring a real catalog, representative customer queries, and the rules your storefront must respect. We will show you how Querix interprets and ranks them.