Title: Week 02 Resources
Course: AIINFRA 301: Production RAG & LLMOps — Observability and Evaluation > Section: Week 02 — Embeddings and Vector Representations for Retrieval

📚 Resources

- MTEB Leaderboard and Top Embedding Models (2026): https://awesomeagents.ai/leaderboards/embedding-model-leaderboard-mteb-march-2026/
- OpenAI text-embedding-3-large: Matryoshka dimensions: https://innovativeais.com/blog/best-embedding-models-for-rag-in-2026
- Run MTEB locally to benchmark embedding models: https://sbert.net/docs/sentence_transformer/usage/mteb_evaluation.html
- MTEB benchmark repo (open source): https://github.com/embeddings-benchmark/mteb
- Sentence Transformers documentation (SBERT): https://www.sbert.net/
- pgvector Python client: https://pypi.org/project/pgvector/

Week 03 · Vector Database Selection: Qdrant, Milvus, Weaviate, and pgvector

Notion ID: 392c08fd-0278-81b4-b880-fd1876426def Notion URL: https://app.notion.com/p/392c08fd027881b4b880fd1876426def