Building AI Agent Bot with RAG, Langchain and Reasoning Engine
In this workshop, participants will embark on a comprehensive journey to build an AI agent using advanced tools and techniques such as Retrieval-Augmented Generation (RAG), Langchain, and Reasoning Engine. Over the course of 90 minutes, attendees will gain hands-on experience and valuable insights into the following key areas:
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Preparing Documents for RAG: Learn how to prepare documents for Retrieval-Augmented Generation by embedding, chunking, and storing them in a vector database. We will utilize the pgvec extension in PostgreSQL to efficiently manage and query our document vectors.
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Creating a Document Retriever Tool: Discover how to develop a powerful document retriever tool that performs efficient searches and retrievals from the vector database. This tool will be crucial for augmenting prompts with relevant information, enhancing the AI agent's responses.
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Developing API Tools for Third-Party Interaction: Explore the process of creating API tools that enable the AI agent to interact seamlessly with third-party systems API. These tools will expand the agent's capabilities, allowing it to execute complex tasks and retrieve external data.
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Building an Agent in Langchain: Dive into the creation of an intelligent agent using Langchain. Participants will learn how to manage chat histories through session stores (both in-memory and persistent storage like Redis) and leverage various tools to empower the agent to make decisions and perform actions autonomously.
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Deploying the AI Agent to the Cloud with Reasoning Engine: Gain practical knowledge on deploying the AI agent to the cloud using the Reasoning Engine. This section will demonstrate how to transition from development to a production-ready prototype swiftly, ensuring the agent's scalability and reliability.
By the end of this workshop, participants will have a robust understanding of building and deploying an AI agent, equipped with the skills to create intelligent systems that can autonomously interact with users and third-party services. This workshop will provide a comprehensive guideline, empowering attendees to innovate and implement AI solutions effectively in their own projects.
