Agentic AI

July 6, 2026

Who grades the grader? LLM-as-a-Judge inside Elasticsearch Workflows

Find out if your RAG agent is ready to ship. Score it on correctness, faithfulness and retrieval quality using only Elasticsearch Workflows and two Claude models.

Who grades the grader? LLM-as-a-Judge inside Elasticsearch Workflows
Building a multilingual voice agent with Elastic Agent Builder & Sarvam AI

June 30, 2026

Building a multilingual voice agent with Elastic Agent Builder & Sarvam AI

A working demo combining Sarvam AI speech with Elastic Agent Builder: identity verification, per-customer ES|QL queries, and mid-call language switching across 22 Indian languages without multilingual indices.

Talk to your Elasticsearch data: building a real-time voice agent with Google ADK and MCP in 3 components

Talk to your Elasticsearch data: building a real-time voice agent with Google ADK and MCP in 3 components

Wire Google ADK's real-time voice streaming to your Elasticsearch data via Agent Builder's built-in MCP server; no custom integration code required.

Your data analyst doesn't need SQL: wiring Elastic Agent Builder to AWS AgentCore for natural-language Elasticsearch queries

June 22, 2026

Your data analyst doesn't need SQL: wiring Elastic Agent Builder to AWS AgentCore for natural-language Elasticsearch queries

Wire plain-English questions to your Elasticsearch data using Elastic Agent Builder MCP, AWS Bedrock AgentCore and the Strands SDK. Python code included.

Extract chart data standard OCR misses: Elastic Agent Builder and LlamaParse in one pipeline

Extract chart data standard OCR misses: Elastic Agent Builder and LlamaParse in one pipeline

Build an end-to-end pipeline that extracts structured data (including values from charts) out of complex PDFs and into Elasticsearch, ready for agent queries with ES|QL.

How we built a persistent agent memory layer on Elasticsearch with 0.89 recall and zero tenant leaks

How we built a persistent agent memory layer on Elasticsearch with 0.89 recall and zero tenant leaks

Discover the architecture behind a persistent, multi-tenant agent memory layer on Elasticsearch: three indices, hybrid retrieval with RRF and a reranker, supersession, decay, and per-user DLS isolation. R@10 0.89 across 168 questions. Full open-source implementation included.

Systematic research with LangChain's Deep Agents framework and Elasticsearch

June 12, 2026

Systematic research with LangChain's Deep Agents framework and Elasticsearch

Building a systematic research pipeline using LangChain's Deep Agents framework and Elasticsearch:

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

Your AI agent reads the fine print: building a RAG pipeline over EU regulations with Elasticsearch and OGX

Learn how to configure Elasticsearch as an OGX vector store, ingest EU regulation PDFs and build a Python RAG agent that runs hybrid BM25 and vector search with source-level citations.

Best practices for building a modern app with vector search

Best practices for building a modern app with vector search

Exploring six vector search tips for building modern AI search applications entirely on Elasticsearch, with an opinionated rationale at each architectural decision.

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