Nexla’s Platform Updates Continue to Make GenAI Development Accessible to All

Nexla, a leader in AI-powered integration, is expanding the Nexla Integration Platform—the all-in-one solution for multi-speed data integration, preparation, monitoring, and discovery—with advancements in no-code integration, retrieval-augmented generation (RAG) pipeline engineering, and data governance. This update serves to democratize the creation of enterprise-grade generative AI (GenAI), where combining the platform’s latest capabilities enables GenAI development without the need for specialized skills.

The Nexla integration platform offers a no-/low-code strategy for quickly integrating any data in any format, from anywhere. Additionally capable of creating AI-ready data products—also known as Nexsets—and delivering GenAI and RAG projects without the need for coding, Nexla empowers true data reuse and governance, according to the vendor.

Nexla’s latest update zeroes in on its ability to help organizations create and deliver enterprise-grade GenAI, offering four new components: agentic retrieval, Nexla Orchestrated Versatile Agents (NOVA), converged integration, and the new Data Product Marketplace.

“While there was significant hype around GenAI in 2024, 2025 is the year for AI to solve business problems,” said Saket Saurabh, Nexla co-founder and CEO. “Nexla’s latest release enables companies to be successful with agentic AI now, using their existing resources and skill sets, by combining an enterprise-grade integration and agentic AI foundation with no-code data engineering, all powered by AI.”

In the space of agentic retrieval, Nexla now employs a large language model (LLM) to surface data across any relevant data products, as opposed to traditional methods which only retrieve data from a specific source—such as a vector database. Simultaneously enforcing data security policies, Nexla’s newly expanded agentic retrieval helps improve AI accuracy without sacrificing security or needing to load data into a single source.

NOVA is an agentic interface within the Nexla UI that allows users to create end-to-end pipelines by using natural language commands. With an LLM, Nexla creates the tasks and code via Python andSQL, queries sources, builds, transforms, and orchestrates pipelines. NOVA can be used independently or interchangeably with no-code, point-and-click configuration and pro-code mode.

Nexla’s updated platform also makes its no-code integration faster and simpler with converged integration, offering more flow templates, pre-built and configured patterns, and connectivity. In addition to the new templates, Nexla adds general-purpose document ingestion with advanced agentic chunking, enhancing LLM accuracy.

These new templates include:

• FlowOrchestration: Combine any data flows of different integration styles.
• ELT: Quickly create flows into data warehouses, data lakes, and databases.
• Direct: Quickly build high-throughput point-to-point data flows.
• BYO: BYO (Build Your Own) integration runtime and deploy and manage it in Nexla.
• RAG: Rapidly implement a modular RAG pipeline without coding.

Finally, the introduction of Nexla’s Data Product Marketplace allows data product producers to create, publish, and govern diverse data as fully managed data products. Those using the data products can apply data policies and enforce security at runtime, offering a streamlined method of discovery data without losing control over access and usage, according to Nexla.

To learn more about Nexla’s latest update, please visit https://nexla.com/.