Learn how to implement retrieval-augmented generation (RAG) with OpenSearch, combining vector search retrieval with large language models to generate grounded, context-aware responses.
Retrieval-augmented generation (RAG) using the DeepSeek Chat API
Platform: OpenSearch, Amazon OpenSearch Service
Model: DeepSeek Chat
Deployment: Provider API
RAG using DeepSeek-R1 on Amazon Bedrock
Platform: OpenSearch, Amazon OpenSearch Service
Model: DeepSeek-R1
Deployment: Amazon Bedrock
RAG using DeepSeek-R1 in Amazon SageMaker
Platform: OpenSearch, Amazon OpenSearch Service
Model: DeepSeek-R1
Deployment: Amazon SageMaker
Conversational search with RAG tutorials
The following tutorials show you how to implement conversational search with RAG.
Conversational search using Cohere Command
Platform: OpenSearch
Model: Cohere Command
Deployment: Provider API
Conversational search using OpenAI
Platform: OpenSearch
Model: OpenAI GPT-4o
Deployment: Provider API
Conversational search using Anthropic Claude on Amazon Bedrock