Category: Python
Articles tagged Python
How to instrument your search API with OpenTelemetry and query it with ES|QL
Add custom attributes to OpenTelemetry spans and run six ES|QL queries that reveal your top searches, zero-result rate and slowest queries.
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.
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.
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.
Your Elastic agent, Google's ADK, and zero custom APIs: building “Lucky Planet” over A2A
Elastic Agent Builder's native A2A endpoint lets Google's ADK orchestrate a remote agent, with no custom REST API. Watch it work in 'Lucky Planet,' a random-exoplanet game built end-to-end.
Multimodal search for mountain peaks with Elasticsearch and SigLIP-2
Learn how to implement text-to-image and image-to-image multimodal search using SigLIP-2 embeddings and Elasticsearch kNN vector search. Project focus: finding Mount Ama Dablam peak photos from an Everest trek.
Training LTR models in Elasticsearch with judgement lists based on user behavior data
Learn how to use UBI data to create judgment lists to automate the training of your Learning to Rank (LTR) models in Elasticsearch.
Using TwelveLabs’ Marengo video embedding model with Amazon Bedrock and Elasticsearch
Creating a small app to search video embeddings from TwelveLabs' Marengo model.
Using LangExtract and Elasticsearch
Learn how to extract structured data from free-form text using LangExtract and store it as fields in Elasticsearch.
Introducing the ES|QL query builder for the Python Elasticsearch Client
Learn how to use the ES|QL query builder, a new Python Elasticsearch client feature that makes it easier to construct ES|QL queries using a familiar Python syntax.
Evaluating your Elasticsearch LLM applications with Ragas
Assessing the quality of a RAG solution using Ragas metrics and Elasticsearch.
