Generative AI
![Protecting Sensitive and PII information in RAG with Elasticsearch and LlamaIndex](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Frag-with-llamaindex-and-elasticsearch%2Frag-highlevel.png&w=3840&q=100)
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.
![Build a Conversational Search for your Customer Success Application with Elasticsearch and OpenAI](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Fconversational-search-for-customer-success%2Farchitecture.png&w=3840&q=100)
Build a Conversational Search for your Customer Success Application with Elasticsearch and OpenAI
Explore how to enhance your customer success application by implementing a conversational search feature using advanced technologies such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
![semantic_text with Amazon Bedrock](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Fsemantic-text-with-amazon-bedrock%2Fcover.png&w=3840&q=100)
semantic_text with Amazon Bedrock
Using semantic_text new feature, and AWS Bedrock as inference endpoint service
![Elasticsearch open inference API adds Amazon Bedrock support](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Fblog-aws-inference.png&w=3840&q=100)
Elasticsearch open inference API adds Amazon Bedrock support
Elasticsearch open inference API adds support for embeddings generated from models hosted on Amazon Bedrock."
![Playground: Experiment with RAG using Bedrock Anthropic Models and Elasticsearch in minutes](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Fbedrock-playground%2Fimage.png&w=3840&q=100)
Playground: Experiment with RAG using Bedrock Anthropic Models and Elasticsearch in minutes
Playground is a low code interface for developers to explore grounding LLMs of their choice with their own private data, in minutes.
![Search complex documents using Unstructured.io and Elasticsearch vector database](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2F18-roadway.jpeg&w=3840&q=100)
Search complex documents using Unstructured.io and Elasticsearch vector database
Ingest and search complex proprietary documents with Unstructured and Elasticsearch vector database for RAG applications
![How Generative AI will transform web accessibility](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Fgen-ai-accessibility%2Fbe-my-eyes-logo.png&w=3840&q=100)
How Generative AI will transform web accessibility
An experiment inspired by Be My Eyes and OpenAI to experiment with using Chat GPT 4o for web accessibility
![Playground: Experiment with RAG applications with Elasticsearch in minutes](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Fplayground-introduction%2Fcover.jpeg&w=3840&q=100)
Playground: Experiment with RAG applications with Elasticsearch in minutes
Playground is a low code interface for developers to explore grounding LLMs of their choice with their own private data, in minutes.
![Elasticsearch vs. OpenSearch: Vector Search Performance Comparison](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Felasticsearch-opensearch-vector-search-performance-comparison%2Fheader.webp&w=3840&q=100)
Elasticsearch vs. OpenSearch: Vector Search Performance Comparison
Elasticsearch is out-of-the-box 2x–12x faster than OpenSearch for vector search
![Building RAG with Llama 3 open-source and Elastic](/search-labs/_next/image?url=%2Fsearch-labs%2Fassets%2Fimages%2Frag-with-llama3-elastic%2Fllama3-elastic-small.png&w=3840&q=100)
Building RAG with Llama 3 open-source and Elastic
Build a RAG system with Llama3 open source and Elastic.