Optimize Data for LLMs

AI-Ready Data

Automatically turn any data silos into AI-ready data, and enable AI everywhere.

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Nexla Solution: AI-Ready Data

What is AI-ready Data?

Data that is complete, accurate, discoverable, and understandable by an LLM.

  • Complete and accurate to help prevent hallucinations caused by missing or poor data quality. This requires strong data integration and data quality features.
  • Discoverable so that an LLM can find it. This requires searchable metadata and a catalog.
  • Understandable by an LLM when used in a RAG pipeline. This requires good semantic chunking, often optimized by domain.
Nexla: What Are Data Products?

Accelerate Your AI Projects with AI-Ready Data

There is no good AI without good data. Make implementing GenAI fast with a platform that lets you access and integrate any data, automatically turn it into AI-ready data products, and build agentic AI applications and chatbots in minutes without coding, powered by AI.

How Nexla Turns Any Data Silos into AI-ready Data Products

Stop wasting time trying to access and manually transform each new data source. Use AI to turn even the most complex unstructured data into ready-to-use, AI-ready data products for any project.

Access Any Data

Connect to any source and turn any structured or unstructured data, including all kinds of documents. Nexla automatically creates Nexsets, virtual data products that are human-readable and ready-to-use. It uses AI-powered metadata intelligence to extract data, infer the right structure, and maintain data and data quality over time.

Make Data AI-ready

Prepare any data and make it, and keep it AI-ready. Merge data from different sources. Leverage Nexla’s agentic chunking or other leading algorithms to extract the core meaning of data in ways LLMs will understand it. Do it all without coding, in minutes. Nexla handles the different formats and protocols for you.

Use Anywhere

Once data is exposed at a Nexset, you can reuse it anywhere, and move it into any destination with a few clicks. Embed any data into your vector database of choice – including Pinecone, Weaviate, and MongoDB – using different embedding algorithms. Or let Nexla automatically discover data and add it to a prompt during agentic retrieval.

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