Embedding retrieval

Where it is assessed

5 assessed items, 0 done.

• AIE-103 M2.3 A dense baseline over both corpora · tier 1
• AIE-103 M2.4 Find where embeddings fail · tier 1
• AIE-103 M2.5 Retention: embedding retrieval and its failure modes · tier 1
• AIE-103 M7.3 The crossover point · tier 1
• AIE-103 M9.1 Ship retrieval into a product · tier 3

Verified sources

• CMU Advanced NLP Fall 2024 · Graham Neubig
• CMU Advanced NLP Fall 2024 (10): Retrieval and RAG · Graham Neubig
• Patterns for Building LLM-based Systems & Products
• Augmented Language Models (LLM Bootcamp) · The Full Stack
• openai/openai-cookbook
• ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT
• Dense Passage Retrieval for Open-Domain Question Answering
• Precise Zero-Shot Dense Retrieval without Relevance Labels
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
• Vector Databases and Similarity Search
• Pretrained Models — Sentence Transformers
• SentenceTransformers Documentation