A forum for monthly meetings centred around Retrieval-Augmented Generation (RAG). Each meeting explores a different topic (embedding models, vector compression, retrieval strategies, evaluation, etc.).
A RAG system is a short pipeline, but almost every stage hides a knob worth turning. Each meeting we pick one, dig in together, and compare problems, stacks, and ideas.
03_workshop/ # one folder per meeting: YYMMDD-topic/
260615-turbovec/ # first meeting (see its README)
data/ # downloaded corpora & generated vectors (gitignored)
src/workshop_rag_forum/ # shared package code (from the template)
notebooks/ docs/ reports/ references/ tests/
.env_example # copy to .env and fill in your endpoint + key
| Date | Topic | Folder | Summary |
|---|---|---|---|
| 26-06-15 | turbovec | 03_workshop/260615-turbovec/ |
Illustrating turbovec vector compression vs. a float32 embedding baseline |
See installation.md for installing uv and Python, and
development.md for development workflows. Copy .env_example to
.env and fill in your embedding endpoint and API key before running a meeting's scripts.
This project is licensed under the MIT License.
The AI Service Centre Berlin Brandenburg is funded by the Federal Ministry of Research, Technology and Space under the funding code 01IS22092.