boatbomber/Roblox-Docs-AI-Search

AI vector embeddings of Roblox informational documents for semantic search

Roblox-Docs-AI-Search

AI vector embeddings of Roblox informational documents for semantic search

Indexer

Grabs content from the creator-docs repo, processes and chunks them, feeds that through TogetherAI, and spits out build/. The GitHub workflow puts those outputs into a release so that you don't need to do this expensive step every time.

How to run the indexer yourself

Create a .env file:

TOGETHERAI_API_KEY=xx-XXXXXXXXXXXXXXXXXXXXXX
GITHUB_TOKEN=xxx_XXXXXXXXXXXXXXXXXXXXXXX

Then run:

pip install -r indexer/requirements.txt
python indexer/main.py

Searcher

Enables fast semantic searching with vector KNN querying.

Installation

Install using wally:

[server-dependencies]
DocsAISearch = "boatbomber/robloxdocsaisearch@1.1.1"

Usage

local DocsAISearch = require(script.DocsAISearch).new({
	TogetherAIKey = Secrets.TogetherAI,
	GithubKey = Secrets.Github,
	RelevanceThreshold = 0.3,
})

-- Optionally, preload via DocsAISearch:Load(), otherwise it'll load the index upon first query

local results = DocsAISearch:Query("how to set sun position in the sky", 2)