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Nexla and Vespa.ai Partner for Real-Time AI Search


Nexla and Vespa.ai Partner for Real-Time AI Search
  • by: Source Logo
  • |
  • February 19, 2026

Nexla and Vespa.ai have formed a strategic partnership to streamline the integration of enterprise data into high-performance, real-time AI search and retrieval systems. By combining Nexla’s AI-powered data integration platform with Vespa’s scalable AI search engine, the collaboration removes major friction in preparing and serving production-ready data from hundreds of disparate sources for agentic AI applications, RAG systems, recommendation engines, and intelligent search.

Quick Intel

  • Nexla and Vespa.ai partner to connect enterprise data sources directly to Vespa’s real-time search and retrieval platform, reducing setup time and maintenance.
  • Native integrations include a Vespa Connector in Nexla for seamless data ingestion from sources like S3, PostgreSQL, Snowflake, APIs, and vector databases, plus a Vespa Nexla Plugin CLI that auto-generates Vespa application packages from Nexla metadata.
  • Enables code-free pipelines for batch, streaming, or CDC updates, hybrid retrieval (vectors + keywords + filters), and migration from other vector databases.
  • Addresses key challenges in AI deployment: data variety, real-time updates, low-latency serving, and scalability for billions of documents.
  • Quote from Saket Saurabh, CEO and Co-Founder of Nexla: “Data integration and intelligent retrieval are two sides of the same coin in modern AI architectures.”
  • Quote from Jon Bratseth, CEO of Vespa.ai: “By partnering with Nexla, we're removing friction between data preparation and real-time execution, so teams can move from raw enterprise data to production-grade AI search and RAG systems faster and with far more control.”

Overcoming Data-to-Search Bottlenecks

Organizations building AI-powered applications often face significant delays in transforming diverse enterprise data—structured and unstructured, batch and streaming, legacy and modern—into formats suitable for scalable search and retrieval. Nexla eliminates this complexity by turning raw data into governed, production-ready data products with over 500 pre-built connectors and no-code flows. Vespa complements this with distributed, high-throughput vector and hybrid search, real-time inference, multi-phase ranking, and LLM integration. Together, they enable faster deployment of agentic RAG, recommendation systems, and intelligent search without custom coding or ongoing plumbing.

Native Integrations Driving Efficiency

The partnership delivers:

  • Vespa Connector: Pipes data directly from enterprise sources into Vespa indexes without custom development.
  • Vespa Nexla Plugin CLI: Automatically creates draft Vespa schemas and application packages from Nexla’s metadata-defined data products (Nexsets), minimizing configuration errors and setup time.
  • Continuous syncing: Supports batch, streaming, and change data capture (CDC) pipelines to keep Vespa indexes current with operational systems.

These capabilities support complex use cases requiring precision, low latency, high concurrency, and real-time control at scale.

Enabling Production-Grade AI Applications

The combined solution empowers teams to focus on building transformative AI experiences rather than managing data pipelines. It is particularly valuable for enterprises scaling agentic workflows, hybrid retrieval across vectors and structured data, and high-volume inference serving billions of documents with strict performance SLAs.

Nexla is an enterprise-grade, AI-powered data integration platform for agents that unlocks data from any source and transforms it into production-ready data products for AI and agents. With support for 500+ pre-built connectors and multiple integration styles - including ELT, ETL, streaming, APIs, and agentic RAG. Nexla enables teams to build and manage data flows without writing code. Trusted by leading enterprises, Nexla processes over one trillion records per month across industries.

Vespa.ai is a powerful platform for developing real-time search-based AI applications. Once built, these applications are deployed through Vespa's large-scale, distributed architecture, which efficiently manages data, inference, and logic for applications handling massive datasets and high concurrent query rates. Vespa delivers all the building blocks of an AI application, including vector database, hybrid search, retrieval augmented generation (RAG), natural language processing (NLP), machine learning, and support for large language models (LLM) and vision language models (VLM). It is available as a managed service and open source.

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