It’s RAG time for LLMs that need a source of truth
The Stack Overflow Podcast
00:00
Exploring Text Embedding and Parameter Adjustment for Vector Databases
Exploring the significance of vector length in creating efficient representations for LLMs and the importance of embedding small, coherent text units for retrieval. The chapter discusses adjusting search parameters to ensure thematic relevance in the retrieved content.
Transcript
Play full episode
