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Model Inputs

Tokens Token IDs Embeddings Cosine similarity Context windows System and user messages Prompt delimiters Structured prompts

Generation Controls

Temperature Top-k sampling Top-p sampling Stop sequences Maximum output tokens Deterministic seeds Frequency penalties Streaming tokens

Grounding & Retrieval

Chunking documents Vector search Top-k retrieval Metadata filtering Prompt grounding Citation mapping Context packing Reranking results

Evaluation & Safety

Hallucination checks Prompt injection defense PII redaction Output schema validation Human review queues Golden test sets Latency measurement Token cost accounting

Generative AI / Grounding & Retrieval

Top-k retrieval

Learn Top-k retrieval in Generative AI with a focused explanation, a topic-specific example, and a mastery check.

12 min read • Intermediate

generative-ai-019.py

python

hits=[('doc-7',.92),('doc-2',.88),('doc-9',.61),('doc-3',.55)]
print(sorted(hits,key=lambda x:x[1],reverse=True)[:3])

What to watch

Content source & attribution

Original Syntaxis Content · Original Syntaxis Content

Lesson quizzes

Top-k retrieval Mastery Check →

Metadata filtering