Native integration makes it easy to ingest, index, and continually update data from enterprise systems, reducing setup time and ongoing maintenance.
Nexla, an enterprise-grade AI-powered data integration platform for agents, announced a strategic partnership with Vespa.ai, creator of the leading AI search platform for building and deploying real-time AI applications at scale. This partnership eliminates one of the biggest bottlenecks in AI application development: getting production-ready data into scalable, high-performance AI search and retrieval systems.
Organizations building AI-powered applications face the critical challenge of connecting and preparing enterprise data from hundreds of disparate sources before powering intelligent search and retrieval. This data diversity (structured/unstructured, batch/streaming, modern/legacy) creates complexity and slows the adoption of AI into production.
Nexla addresses this challenge with over 500 pre-built connectors that transform disparate data from any enterprise system into production-ready data products for AI and agents. Vespa, on the other hand, provides the distributed search, vector search, and real-time inference capabilities needed to service AI-powered applications at scale. Together, they create a seamless path from raw enterprise data to intelligent, production-grade AI search.
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As part of the partnership, Nexla has launched native Vespa integration that makes working with Vespa faster and easier.
- Nexla Vespa Connector: Seamlessly pipe data from sources like Amazon S3, PostgreSQL, Snowflake, APIs, and even your existing vector databases directly into Vespa without the need for custom code or complex configuration.
- Vespa Nexla plugin CLI: Automatically generate draft Vespa application packages with schema files directly from Nexla’s metadata definition data products (Nexsets), significantly reducing setup time and configuration errors.
These features enable teams to migrate from other vector databases, synchronize production databases to Vespa, and continuously update Vespa indexes using batch, streaming, or CDC pipelines without writing any code.
Integrated solutions are especially valuable for building or expanding your organization.
- AI search and RAG applications requiring hybrid search across vectors, keywords, and structured filters
- High-throughput, low-latency system that processes billions of documents with real-time updates
- Complex ranking and inference pipelines, including multi-phase ranking and LLM integration
Nexla prepares and manages your data. Vespa performs advanced search, ranking, and inference where the data resides.
“Data integration and intelligent search are two sides of the same coin in modern AI architectures.”,” said Saket Saurabh, CEO and Co-Founder of Nexla. “Nexla unlocks and transforms the diversity of data to deliver enterprise-grade, turnkey data products. Vespa.ai makes that data searchable and actionable in real-time. This creates a powerful combination for organizations building search at scale. Together, we remove the friction between data preparation and intelligent retrieval, allowing teams to focus on building innovative AI experiences instead of plumbing data.”
“Vespa is built for teams who need precision, performance, and real-time control at scale.” Jon Bratseth, CEO of Vespa.ai. “Partnering with Nexla removes the friction between data preparation and real-time execution, allowing teams to move from raw enterprise data to production-grade AI search and RAG systems faster and with greater control.”
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