Skip to content

Repository files navigation

RAG and Embeddings

Material for the itenium session on RAG & Embeddings: vector RAG from the ground up, built around five questions of which the naive pipeline answers one.

Presentation

cd presentation
bun install
bun run dev

Update the theme:

cd presentation/theme
git pull

Demo app

cd app
export UV_PROJECT_ENVIRONMENT="$HOME/.venvs/rag-demo"
uv sync
uv run python scripts/build_index.py
uv run uvicorn --factory web.server:build --port 8000

Runs against the synthetic corpus in app/sample/. See app/README.md for real data, the wizard steps and the tests.

About

AI session on RAG and Embeddings

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages