Sitemap
Yenni Kwek

Yenni Kwek

Snowflake

No stories

Yenni Kwek

Yenni Kwek

Data Strategy

32 stories

Yenni Kwek

Yenni Kwek

Career

16 stories

Yenni Kwek

Yenni Kwek

Management

95 stories

Yenni Kwek

Yenni Kwek

Programing

3 stories

Yenni Kwek

Yenni Kwek

Agile

34 stories

Yenni Kwek

Yenni Kwek

Chatbot

7 stories

An overview of the RAG pipeline. For documents storage: input documents -> text chunks -> encoder model -> vector database. For LLM prompting: User question -> encoder model -> vector database -> top-k relevant chunks -> generator LLM model. The LLM then answers the question with the retrieved context.
Yenni Kwek

Yenni Kwek

Ml/ai

6 stories

Yenni Kwek

Yenni Kwek

Streaming

13 stories

Yenni Kwek

Yenni Kwek

Personal Growth

10 stories

Bearded man wearing sunglasses with woods behind him
Yenni Kwek

Yenni Kwek

Data Management

2 stories

Yenni Kwek

Yenni Kwek

Guilds

13 stories

Yenni Kwek

Yenni Kwek

Elastic

2 stories

Yenni Kwek

Yenni Kwek

Documentation

2 stories

Yenni Kwek

Yenni Kwek

Data lakehouse

1 story