Retrieval augmented generation with LlamaIndex.

Format:

Video

Contributor:

Zenva Academy, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Chatbots.

Information retrieval--Computer programs.

Information retrieval.

Artificial intelligence--Computer programs.

Artificial intelligence.

Physical Description:

1 online resource (1 video file (1 hr., 1 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 1-hour course, learners explore Retrieval Augmented Generation (RAG) with LlamaIndex, creating intelligent document-based chat applications and understanding how retrieval enhances language models for accurate, context-aware responses. What I will be able to do after this course Explain Retrieval Augmented Generation principles Create document-based chat applications Save and load indexes efficiently Work with embeddings to improve retrieval Manage document metadata effectively Course Instructor(s) Zenva Academy trains over 1 million learners in programming, AI, VR, and web development. Its Mini-Degrees™ offer video lessons, interactive quizzes, and project files. Courses equip developers with practical skills to build real-world projects and upskill for tech careers. Who is it for? Ideal for AI developers, data engineers, and NLP enthusiasts. Learners should have basic Python skills and familiarity with LLMs. This course is suited for anyone aiming to build intelligent chatbots or document retrieval systems.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808089657

OCLC:

1593852836