Результаты для "elasticsearch vector db"

World's most downloaded vector database: Elasticsearch | Elastic

https://www.elastic.co/elasticsearch/vector-dat...

Elasticsearch's hybrid search blends keywords, vectors, geo data, metadata, and more in a single API call. Rank results by meaning, precision, and context.

What is a Vector Database? - Elastic

https://www.elastic.co/what-is/vector-database

A vector database is a specialized database designed to store, manage, and search high-dimensional vector embeddings. Its primary function is to serve as an ...

Elasticsearch Was Great, But Vector Databases Are the Future

https://medium.com/@zilliz_learn/elasticsearch-...

3 дек. 2024 г. ... Vector databases provide a comprehensive solution that seamlessly combines semantic and full-text search, outperforming traditional search systems like ...

Elasticsearch Vector Database - YouTube

https://www.youtube.com/watch?v=lx-6uBdkZtY

17 сент. 2024 г. ... ... Elasticsearch, particularly focusing on its vector database functionalities. He began by giving a brief history of Elasticsearch, which ...

Semantic Search Application with Elasticsearch Vector Database

https://bigdataboutique.com/blog/semantic-searc...

4 мар. 2025 г. ... A hands-on tutorial for building a semantic hybrid search application with Elasticsearch as a vector database.

Elasticseach Vector Database RAG Demo - YouTube

https://www.youtube.com/watch?v=yHjzykn7nuw

17 сент. 2024 г. ... ... Elasticsearch's vector database, particularly focusing on retrieval-augmented generation (RAG). He explained how Elasticsearch optimizes ...

Setting up an Elasticsearch vector store - IBM

https://www.ibm.com/docs/en/watsonx/saas?topic=...

Set up an Elasticsearch database. · Create a service credential. · Deploy the ELSER model that is required to vectorize documents, and then create a vector index ...

How do you integrate a vector DB with existing search backends ...

https://milvus.io/ai-quick-reference/how-do-you...

The goal is to leverage the strengths of both systems: vector databases excel at finding semantically similar data using embeddings, while Elasticsearch handles ...

How to use Elasticsearch as Vector Database | by Sagar Gangurde

https://medium.com/bigdata-blog/how-to-use-elas...

19 мар. 2024 г. ... How to use Elasticsearch as Vector Database Lets setup single node Elasticsearch cluster on local machine. Pull the docker images. docker ...

Does elasticsearch measure up? A side-by-side comparison of ...

https://www.reddit.com/r/elasticsearch/comments...

5 окт. 2023 г. ... I made this table to compare vector databases in order to help me choose the best one for a new project. I spent quite a few hours on it, ...

Elasticsearch Vector Database

YouTube • September 17, 2024 • 46:08

Philipp Krenn from Elastic provided an in-depth presentation on the capabilities and evolution of Elasticsearch, particularly focusing on its vector database functionalities. He began by giving a brief history of Elasticsearch, which started as a distributed, open-source, RESTful search engine built on Apache Lucene. Initially designed to solve ...

Elasticseach Vector Database RAG Demo

YouTube • September 17, 2024 • 25:41

Philipp Krenn, Director of DevRel & Developer Community at Elastic, presented a detailed demonstration of the capabilities of Elasticsearch's vector database, particularly focusing on retrieval-augmented generation (RAG). He explained how Elasticsearch optimizes memory usage by reducing the dimensionality of vector representations and employing ...

Semantic Search With Elasticsearch

YouTube • March 4, 2024 • 56:39

This talk will present Elasticsearch as a capable vector database. It will explain the conceptual and technical differences between semantic and lexical search as well as the concept of embeddings and semantic similarity. Using data from Czech Wikipedia, the talk will focus on code-based demonstration of generating embeddings, indexing data and ...

What Are Vector Embeddings? (Explained in 2 Minutes)

YouTube • September 4, 2025 • 01:49

In under 2 minutes, we explain what vector embeddings are, how they work, and how to use them in real-world applications like text expansion. We'll also show how Elasticsearch supports vector search with two powerful models: E5, open-source text embedding models designed for multilingual search, and ELSER, a sparse embeddings model from Elastic ...

What Is Vector Search? Difference Between Vector & Semantic Search Explained [Quick Question Ep. 5]

YouTube • August 21, 2025 • 02:15

What is vector search? In this breakdown, learn how vector search leverages machine learning to capture the meaning and context of unstructured data by transforming it into a numeric representation that is stored in a vector database. This video also explains the difference between sparse and dense embeddings, and how vector search differs from ...

Build Hybrid Search with Elastic search and BERT Vector Embeddings (with code)

YouTube • January 6, 2025 •

Build Hybrid Search with Elastic search and BERT Vector Embeddings ...