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AI330: Digital Assistant for the Knowledge Base

Training: Artificial Intelligence

Participants learn how digital assistants can be used as intelligent librarians for knowledge bases. The course covers architecture and components based on OpenAI, Aleph Alpha, VectorDB, and LangChain. It addresses the development of user intents, assistant skills and actions, the setup of a vector database for knowledge retrieval, as well as prompt engineering for effective user guidance.

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Possible course languages: German

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Unfortunately there are currently no available appointments.
Would you like to request an appointment? Then click on 'No matching appointment?'

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Agenda:

Introduction to digital assistants for knowledge bases
- Purpose
- Architecture
- Objectives

Architecture and components of the assistant
- Knowledge retrieval process
- User intents
- Assistant skills
- Actions

Development tools
- OpenAI
- Aleph Alpha
- VectorDB
- Langchain

Detailed development of individual components
- User intents
- Assistant skills
- Actions

Vector database setup for knowledge retrieval

Prompt engineering for user guidance

Exploration of extension possibilities and application of the assistant to your own knowledge base

Pitfalls and best practices in assistant development and implementation

Final discussion: How to transfer the learned knowledge to your own context

Objectives:

Understand components of an assistant system, develop basic assistant independently, apply knowledge retrieval process, create user intents and actions, build vector database, utilize prompt engineering.

Target audience:

Developers
IT Professionals

Prerequisites:

To effectively follow the learning pace and content of the training AI330 Digital Assistant for Knowledge Base, we recommend prior participation in the following courses:

Alternatively, prior knowledge in the following areas is required:

Python programming fundamentals
Recommendation systems
Prompt engineering

Description:

Knowledge bases are often information graveyards where information is difficult to find and poorly interconnected. A digital assistant can function as a librarian and answer specific questions about stored knowledge quickly and reliably.

In the workshop AI330 Digital Assistant for the Knowledge Base you will learn how such a digital assistant works, how it can be applied to your own knowledge base and which pitfalls need to be considered. You will get to know the architecture and components of the assistant that use tools like OpenAI, Aleph Alpha, VectorDB and Langchain and learn how the individual components like User Intents, Assistant Skills and Actions are developed. Additionally, you will build a vector database for knowledge retrieval and use prompt engineering for user guidance.