elastic/elasticsearch-labs
Notebooks & Example Apps for Search & AI Applications with Elasticsearch
This project provides practical examples and tools for building advanced search and AI-powered applications. It takes in various types of text data and helps you create sophisticated search features like question-answering, summarization, and internal knowledge search. This is ideal for product managers, content strategists, or developers looking to integrate AI into search experiences without deep machine learning expertise.
1,056 stars. Actively maintained with 8 commits in the last 30 days.
Use this if you need to build intelligent search functionalities or integrate generative AI features like chatbots and Q&A into your applications or internal systems.
Not ideal if you are looking for a standalone, ready-to-deploy application and don't want to engage with code examples or integration patterns.
Stars
1,056
Forks
265
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
8
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