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AI & LLM integration patterns

Call LLM APIs, structure prompts, parse responses, and ship AI features safely.

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AI & LLM integration patterns easy

Cosine Similarity to Retrieve Top K Chunks in Python

Compute cosine similarity between a query vector and a list of chunk vectors, then return the indices and scores of the top k most similar chunks.

cosine-similarity retrieval embeddings
Python 
import numpy as np
from numpy.linalg import norm

def cosine_similarity(vec1, vec2):
    return np.dot(vec1, vec2) / (norm(vec1) * norm(vec2))

def retrieve_top_k(query_vec, chunk_vectors, k=3):
    similarities = [cosine_similarity(query_vec, vec) for vec in chunk_vectors]
    top_indices = sorted(range(len(similarit…
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