Vector embeddings made simple with the Elasticsearch-DSL client for Python
Learn how to ingest and search dense vectors in Python using the Elasticsearch-DSL client.
Advanced RAG techniques part 2: Querying and testing
Discussing and implementing techniques which may increase RAG performance. Part 2 of 2, focusing on querying and testing an advanced RAG pipeline.
Advanced RAG techniques part 1: Data processing
Discussing and implementing techniques which may increase RAG performance. Part 1 of 2, focusing on the data processing and ingestion component of an advanced RAG pipeline.
Phi-3 small models, Elastic & RAG: Creating a smart ordering system
Deploying Phi-3 models on Azure AI Studio and using them with Elastic Open Inference Service to create a RAG application.
GenAI for Customer Support — Part 3: Designing a chat interface for chatbots... for humans
This series gives you an inside look at how we’re using generative AI in customer support. Join us as we share our journey in designing a GenAI chatbot interface.
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!
Protecting Sensitive and PII information in RAG with Elasticsearch and LlamaIndex
How to protect sensitive and PII data in a RAG application with Elasticsearch and LlamaIndex.
GenAI for Customer Support — Part 2: Building a Knowledge Library
This series gives you an inside look at how we're using generative AI in customer support. Join us as we share our journey in real-time!
Build AI conversational search for your customer success application with Elasticsearch and OpenAI
Learn how to build an AI conversational search for customer success applications using Elasticsearch and OpenAI.
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.