search examples

search_types.py

# Full-Text Search Example
import re
text = "Exploring the universe of AI and ML."
search_term = "universe"
result = re.findall(search_term, text)
print(result)

# Semantic Search Example (using spaCy)
import spacy
nlp = spacy.load("en_core_web_sm")
doc = nlp("The cat sat on the mat.")
for token in doc:
    print(token.text, token.has_vector, token.vector_norm, token.is_oov)

# Vector Search Example (using scikit-learn)
from sklearn.feature_extraction.text import TfidfVectorizer
docs = ["AI advancements", "The future of ML"]
tfidf = TfidfVectorizer()
tfidf_matrix = tfidf.fit_transform(docs)
print(tfidf_matrix.toarray())

# Lexical Search Example
text = "Artificial intelligence in healthcare"
search_pattern = r"\bA[a-z]*"
matches = re.findall(search_pattern, text)
print(matches)