From the course: Building Applications Using Amazon Bedrock
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Agents for Bedrock - Amazon Bedrock Tutorial
From the course: Building Applications Using Amazon Bedrock
Agents for Bedrock
- [Instructor] Another important feature of GenAI applications is the ability to configure agents to retrieve information in real time from external data sources. With agents, you are able to dynamically invoke APIs to help you complete tasks as part of a sequence of events in a chain for your application. Amazon Bedrock has a built-in agents feature that allows you to execute multi-step tasks across company systems and data sources. Agents can help with automatic prompt creation, RAG orchestration for multi-step tasks, and prompt engineering. LangChain also has support to configure agents as part of a chain execution. As an example, let's say you build a GenAI application that is a vacation planner. An agent can be configured to retrieve current flight information or visa requirements to enter certain countries by invoking APIs in real time. An agent can also be configured to help book a flight. The user…
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Conversation history1m 57s
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Coding: Supporting conversation history8m 59s
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Demo: Chatbot conversation history5m 7s
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Introduction to Amazon Kendra1m 42s
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Setting up the Amazon Kendra index7m 12s
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Coding: Amazon Kendra integration3m 17s
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Setting permissions for Amazon Kendra1m 20s
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Demo: Amazon Kendra and Amazon Bedrock integration4m 40s
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Agents for Bedrock2m 17s
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Configuring the Amazon Bedrock agent9m 59s
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Reviewing project files8m 43s
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Testing the agent in the AWS console8m 16s
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