This is a cache of https://www.elastic.co/search-labs/blog/category/vector-database. It is a snapshot of the page at 2024-12-23T00:24:21.539+0000.
Vector Database - Elasticsearch Labs

Vector Database

Agentic RAG with Elasticsearch & Langchain

Discussing and implementing an agentic flow for Elastic RAG, where the LLM chooses to call an Elastic KB.

Agentic RAG with Elasticsearch & Langchain
How to use Elasticsearch Vector Store Connector for Microsoft Semantic Kernel for AI Agent development

December 6, 2024

How to use Elasticsearch Vector Store Connector for Microsoft Semantic Kernel for AI Agent development

Microsoft Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. With the release of Semantic Kernel Elasticsearch Vector Store Connector, developers using Semantic Kernel for building AI agents can now plugin Elasticsearch as a scalable enterprise-grade vector store while continuing to use Semantic Kernel abstractions.

Smokin' fast BBQ with hardware accelerated SIMD instructions

December 4, 2024

Smokin' fast BBQ with hardware accelerated SIMD instructions

How we optimized vector comparisons in BBQ with hardware accelerated SIMD (Single Instruction Multiple Data) instructions.

Using Elastic and Apple's OpenELM models for RAG systems

November 28, 2024

Using Elastic and Apple's OpenELM models for RAG systems

How to deploy and test the new Apple Models and build a RAG system using Elastic.

RAG made easy with Spring AI + Elasticsearch

November 26, 2024

RAG made easy with Spring AI + Elasticsearch

Customizing your AI chatbot experience with private data

Late chunking in Elasticsearch with Jina Embeddings v2

November 22, 2024

Late chunking in Elasticsearch with Jina Embeddings v2

Using the Jina Embeddings v2 model in Elasticsearch and exploring the pros and cons of long context embeddings models.

Elasticsearch open inference API adds support for IBM watsonx.ai Slate embedding models

November 21, 2024

Elasticsearch open inference API adds support for IBM watsonx.ai Slate embedding models

How to use IBM watsonx™ Slate text embeddings when building Search AI experiences with Elasticsearch vector database.

Better Binary Quantization vs. Product Quantization

November 18, 2024

Better Binary Quantization vs. Product Quantization

Why we chose to spend time working on better binary quantization instead of product quantization in Lucene and Elasticsearch.

Federated SharePoint searches with Azure OpenAI Service On your data

November 15, 2024

Federated SharePoint searches with Azure OpenAI Service On your data

Using Azure OpenAI Service on your data with Elastic as vector database.

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