pymilvus

Official SDK and client libraries for Milvus vector database supporting Python, Java, Go, Node.js, and other languages. Provides simple and intuitive APIs for vector operations, search, and data management across platforms.

Gensim is a Python library for topic modeling and vector space modeling, providing tools to generate high-dimensional vector embeddings from text data. These embeddings can be stored and efficiently searched in vector databases, making Gensim directly relevant to vector search use cases.

spaCy is an industrial-strength NLP library in Python that provides advanced tools for generating word, sentence, and document embeddings. These embeddings are commonly stored and searched in vector databases for NLP and semantic search applications.

Word2vec is a popular machine learning technique for generating vector embeddings based on the distributional properties of words in large corpora. It is directly relevant to vector databases as it produces the high-dimensional vector representations stored and indexed by these databases for vector search and similarity tasks.