Data & Research · GitHub ·21 ★

embedding_playbook

This playbook teaches you how to compose Tableau's varied product capabilities into applications that thrill customers, coworkers and friends!

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Details

Author
Tab-SE
Category
Data & Research
Platform
GitHub
Framework
llamaindex
Language
javascript
Stars
21
First indexed
2026-05-15
Last active
2026-03-17
Directory sync
2026-05-15
@Tab-SE

Overview

This playbook teaches you how to compose Tableau's varied product capabilities into applications that thrill customers, coworkers and friends!

Quick start

git

git clone https://github.com/Tab-SE/embedding_playbook

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What embedding_playbook can do

embeddingraghranaly
  • Embedding — Computes vector embeddings for semantic search.
  • Rag — Retrieves grounded context before answering.
  • Hr — Handles people operations such as hiring and policy Q&A.
  • Analy — analy task automation.

Frequently asked questions

What is embedding_playbook?
This playbook teaches you how to compose Tableau's varied product capabilities into applications that thrill customers, coworkers and friends!
How do I install embedding_playbook?
Use git: `git clone https://github.com/Tab-SE/embedding_playbook`. Full setup details on the source page linked above.
Is embedding_playbook open source?
embedding_playbook is published on GitHub.
What are alternatives to embedding_playbook?
Comparable agents include ragflow, autoresearch, OpenBB. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for embedding_playbook is sourced from GitHub, published by Tab-SE.

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