Elastic and Alteryx: Powering trusted, search-ready data for enterprise agents

Organizations want AI-driven answers that are accurate, contextual, and free from hallucinations — but this requires high-quality data and a strong retrieval foundation.

The Elastic + Alteryx integration ensures agentic applications use curated, enriched, and approved enterprise data as context, enabling chatbots and agents to deliver accurate responses. This gives your teams the confidence to rely on AI for decision-making, automation, and knowledge retrieval.

Elasticsearch is the most widely deployed vector database and a high-quality relevance engine. It scales retrieval across billions of embeddings and unifies vectors, text, and metadata in one store. Modern agents rely on context engineering to surface the right information at the right moment. Elasticsearch enables this with hybrid search that blends semantic, lexical, and reranking for reliable, context-driven AI.

Data preparation is a crucial first step in turning raw data into valuable insights. With interactive tools, analysts, data engineers, and data scientists can accelerate the data preparation process, ensuring that data is clean, enriched, and ready for transformation. Effective data prep not only automates repetitive tasks but also provides a visual, sharable representation that can be easily used by teams across an organization. With powerful tools for data access, data transformation, and exploration, teams can streamline workflows, improve data quality, and enrich data for deeper analysis, all while making the process faster and more efficient.

Alteryx supports the first step in the RAG workflow by providing no-code/low-code, governed workflows to connect to hundreds of data systems, clean and standardize both structured and unstructured data, blend sources to add context, and transform structured fields into natural language that large language models (LLMs) can consume.

Elastic ingests Alteryx-prepared data into its vector database, which enables high-speed semantic, hybrid, and keyword search; lightning-fast retrieval of relevant documents; secure, scalable indexing of enterprise knowledge; and explainability and traceability for agent outputs.

With Elasticsearch as the knowledge layer, LLMs can retrieve accurate, context-rich data, minimize hallucinations, and provide natural-language answers grounded in enterprise truth. This integration enables organizations to deploy conversational search, intelligent support, knowledge management, and contextual analytics at scale.

The real power of our partnership is in how Elastic and Alteryx’s combined technology helps you achieve more with AI agents. Together, we can help you build trust in agent outputs, improve decision-making speed and accuracy, increase productivity and reduce manual data work, enhance customer and employee support, strengthen compliance through searchable policy and regulatory content, and accelerate time-to-value for AI initiatives.

How do Alteryx’s platform and Elasticsearch’s vector database and search engine fit into your workflows? You can tap our powerful partnership for:

• Knowledge retrieval: Turn years of documents, chats, and notes into instantly searchable insights.
• Support and service: Give teams fast, context-aware answers from internal systems.
• Policy and compliance QA: Ask natural-language questions and get precise answers from regulatory documents.
• Structured data insights: Convert metrics into explainable, agent-powered narratives.

The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.

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