Building multilingual RAG with Elastic and Mistral
Building a multilingual RAG application using Elastic and Mixtral 8x22B model
Mistral AI embedding models now available via Elasticsearch Open Inference API
Learn more about how to use Mistral embeddings with Elastic built search experiences!
The sparse vector query: Searching sparse vectors with inference or precomputed query vectors
Learn about the Elasticsearch sparse vector query, how it works, and how to effectively use it.
Bit vectors in Elasticsearch
Discover what are bit vectors, their practical implications and how to use them in Elasticsearch.
Build a RAG application with Elasticsearch's semantic_text and Amazon Bedrock
Learn how to build a RAG application using Elasticsearch's semantic_text mapping type and Amazon Bedrock without leaving Elastic.
Elasticsearch open inference API adds Amazon Bedrock support
Elasticsearch open inference API added Amazon Bedrock support. Here's how to use Amazon Bedrock models via Elasticsearch's open inference API.
Playground: Experiment with RAG using Bedrock Anthropic Models and Elasticsearch in minutes
Explore Elastic's Playground and learn how to use it to experiment with RAG applications using Bedrock Anthropic Models & Elasticsearch.
Playground: Experiment with RAG applications with Elasticsearch in minutes
Learn about Elastic's Playground and how to use it to experiment with RAG applications using Elasticsearch.
Elasticsearch vs. OpenSearch: Vector Search Performance Comparison
Elasticsearch is out-of-the-box 2x–12x faster than OpenSearch for vector search
Elasticsearch new semantic_text mapping: Simplifying semantic search
Learn how to use the new semantic_text field type and semantic query for simplifying semantic search in Elasticsearch.
Enhancing recommendations with geo-semantic search in Elasticsearch
Explore Elasticsearch's hybrid geo-semantic search capabilities and learn how to integrate geographical & semantic search to enhance recommendations.
Designing for large scale vector search with Elasticsearch
Explore the cost, performance and benchmarking for running large-scale vector search in Elasticsearch, with a focus on high-fidelity dense vector search.