Official Vespa.ai Partner

Build production retrieval systems on Vespa.ai

Searchplex helps teams implement new Vespa-based systems and focused production extensions when the goal is not a demo, but a retrieval foundation that can actually carry search, recommendation, or AI-native workloads.

Run a focused Vespa POC
OverviewAuditMigrateBuildExtendOptimizeSupport
Build path

Build the right Vespa system the first time

We work with teams building new retrieval systems on Vespa when the architecture needs to be right from the start. That can mean greenfield search, a new recommendation stack, or an AI-native system where retrieval, ranking, and serving need to hold up in production.

Confident to move ahead?

Move into a production build

Design and implement a new Vespa-based retrieval system with the architecture, ranking logic, and delivery rigor needed for production.
Production build →
Need proof first?

Run a focused Vespa POC

Validate the architecture on your data before committing to a full production build.
Vespa POC →
Already on Vespa?

Add focused build extensions

Extend an existing Vespa system with custom behavior, integrations, or new retrieval capabilities as part of the build path.
Focused Vespa extensions →

Vespa systems we build typically power large catalogs, document collections, and AI search workloads where retrieval, ranking, and serving must operate at production scale.

What we build

Systems we build on Vespa

Searchplex builds both new Vespa systems and focused extensions to existing Vespa deployments when teams need additional retrieval capability without treating it as a separate consulting track.

AI Search Systems

Hybrid lexical and vector retrieval systems for product discovery, enterprise knowledge, and domain-specific search applications.

Enterprise RAG Platforms

Retrieval pipelines that power AI assistants, copilots, and knowledge systems over internal content.

Recommendation Systems

Embedding and ranking pipelines for personalized discovery, product recommendations, and behavior-aware ranking.

AI-Native Retrieval Services

Retrieval infrastructure designed to power AI agents, semantic APIs, and real-time knowledge systems.
How we build

Core build capabilities

Data Ingestion & Connectors

Pipelines for ingesting content from databases, object stores, APIs, and document repositories into retrieval-ready schemas.

Content Understanding Pipelines

Embedding generation, metadata enrichment, document understanding, and semantic signal extraction.

Hybrid Retrieval & Ranking

BM25, vector search, hybrid pipelines, and custom ranking models tuned to real query behavior.

Search APIs & Serving Infrastructure

Production search services exposing retrieval through low-latency APIs for applications and AI systems.

Evaluation & Relevance Engineering

Query evaluation frameworks, relevance tuning, and iteration loops designed into the system from the start.

Still evaluating whether Vespa is the right direction? Start with the Migration Readiness Audit.

Why Searchplex

Why teams bring Searchplex into Vespa builds

01

Retrieval engineering, not generic app development

We design production retrieval systems for teams that need ranking, relevance, and serving behavior to hold up beyond a prototype.
02

Built for production from the start

Data pipelines, schema design, ranking logic, observability, and deployment workflows are treated as part of the build, not post-launch cleanup.
03

Grounded Vespa implementation experience

Searchplex has shipped Vespa systems in production across migration, greenfield build, and retrieval modernization work.
04

A clear path after launch

We can stay involved through optimization, capability extension, or production support once the system is live.
FAQ

Vespa build — common questions.

What teams typically ask before committing to a new Vespa implementation.

Next step

Need to build on Vespa without improvising the architecture?

Searchplex helps teams move from concept to production system with a clearer retrieval foundation, stronger implementation choices, and a realistic delivery plan.

Vespa build — greenfield search, RAG systems, recommendation engines, and production rollout.
Run a focused Vespa POC