Context-Aware AI Conversational Agents with RAG Architecture



Context-Aware AI Conversational Agents with RAG Architecture


Lucian Gruia,

Content and organization

Building AI agents capable of lifelong learning represents an ultimate complexity task, closely tied to the breadth of context they can process.

This course aims to explore cutting-edge techniques for constructing a full-stack, context-aware system from the ground up. It’s designed to be scalable, suitable for small applications as well as state and enterprise levels.

We’ll discuss challenges related to scalability and the implications for data protection and privacy across various contexts, including personal data, financial nuances or military-grade sensitivity.

Key concepts covered will include:

  • Conversational Agents Architecture
  • Retrieval-Augmented Generation (RAG) Architecture
  • Streamlining unstructured data
  • Large Language Models
  • Knowledge Representation Techniques
  • Data Embedding
  • Retrieval
  • Semantic Search
  • Reasoning



Course Duration

4 Hours

Course Type

Short Course

Participation terms

REGISTRATION: Free of charge

Both AIDA and non-AIDA students are encouraged to participate in this short course.

If you are an AIDA Student* already, please:
Step (a): Register in the course, please send fill the REGISTRATION FORM.
Step (b): Enroll in the same course in the AIDA system using the button below, so that this course enters your AIDA Certificate of Course Attendance.

If you are not an AIDA Student, do only step (a).
*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the AIDA Members listed in this page: Members)


13-14 May, 14:00 - 16:00 GMT



Modality (online/in person):

Online on Ms Teams


The course will feature a combination of presentations, live coding sessions, and Q&A discussions.
Your participation must be preapproved by the hosts.
The invitation to the video call on Microsoft Teams will be sent on the 10th of May.

Host Institution
Doctoral School of Electronics, Telecommunications & Information Technology | National University of Science and Technology POLITEHNICA Bucharest

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