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About OpenSearch
Version history
Breaking changes
Getting started
Intro to OpenSearch
Installation quickstart
Communicate with OpenSearch
Add and manage your data
Ingest data
Search your data
Analyze your data
Concepts
Tutorials
Vector search
Getting started with semantic and hybrid search
Vector operations
Generating embeddings
Semantic search using byte vectors
Optimizing vector search using Cohere compressed embeddings
Semantic search
Semantic search using OpenAI
Semantic search using Cohere Embed
Semantic search using Cohere Embed on Amazon Bedrock
Semantic search using Amazon Bedrock Titan
Semantic search using Amazon Bedrock Titan in another account
Semantic search in Amazon SageMaker
Semantic search using AWS CloudFormation and Amazon SageMaker
Semantic search using AWS CloudFormation and Amazon Bedrock
Semantic search using an asymmetric embedding model
Semantic search using text chunking
Using semantic highlighting
Reranking search results
Reranking using Cohere Rerank
Reranking search results using Cohere Rerank on Amazon Bedrock
Reranking search results using Amazon Bedrock models
Reranking search results using a cross-encoder in Amazon SageMaker
Reranking search results using a reranker in Amazon SageMaker
Reranking search results by a field
Generative AI
RAG
RAG using the DeepSeek Chat API
RAG using DeepSeek-R1 on Amazon Bedrock
RAG using DeepSeek-R1 in Amazon SageMaker
Conversational search using Cohere Command
Conversational search using Anthropic Claude on Amazon Bedrock
Conversational search using OpenAI
Agentic AI
Building a plan-execute-reflect agent
Chatbots
RAG chatbot
RAG chatbot with a conversational flow agent
Build your own chatbot
AI search workflows
Model guardrails
Amazon Bedrock model guardrails
Faceted search
LLM-as-a-Judge
Install and configure
Installing OpenSearch
Docker
Helm
Tarball
RPM
Debian
OpenSearch Kubernetes Operator
Operator configuration
OpenSearch cluster configuration
OpenSearch Dashboards configuration