November 4, 2024
Reranking with an Elasticsearch-hosted cross-encoder from HuggingFace
Learn how to use a model from Hugging Face to host and perform semantic-reranking in Elasticsearch.
November 1, 2024
Interval queries: why they are true positional queries, and how to transition from Span
Explains how Interval queries are true positional queries and how to transition to them from Span queries.
October 31, 2024
Hybrid search with multiple embeddings: A fun and furry search for cats!
A walkthrough of how to implement different types of search - lexical, vector and hybrid - on multiple embeddings (text and image). It uses a simple and playful search application on cats.
October 30, 2024
Export your Kibana Dev Console requests to Python and JavaScript Code
The Kibana Dev Console now offers the option to export requests to Python and JavaScript code that is ready to be integrated into your application.
October 29, 2024
What is semantic reranking and how to use it?
Learn about the trade-offs using semantic reranking in search and RAG pipelines.
October 28, 2024
GraphQL meets Elasticsearch: Building scalable, AI-ready apps with Hasura DDN
GraphQL offers an efficient and flexible way to query data. This blog will explain how Hasura DDN works with Elasticsearch to make high performing and metadata-driven access to data.
October 25, 2024
Using Kibana to ingest geospatial data into Elasticsearch for use in ES|QL
How to use Kibana and the csv ingest processor to ingest geospatial data into Elasticsearch for use with search in Elasticsearch Query Language (ES|QL). Elasticsearch has powerful geospatial search features, which are now coming to ES|QL for dramatically improved ease of use and OGC familiarity. But to use these features, we need Geospatial data.
How to use the ES|QL Helper in the Elasticsearch Ruby Client
Learn how to use the Elasticsearch Ruby client to craft ES|QL queries and handle their results.
October 23, 2024
Ask questions about your GitHub repository with Elasticsearch as a vector database
This blog introduces a GitHub Assistant using RAG with Elasticsearch to enable semantic code queries, providing insights into GitHub repositories, which can be extended to PRs feedback, issues handling, and production readiness reviews.