VectorDB is a lightweight Python package that offers an easy-to-use interface for storing, retrieving, and managing textual data with associated metadata. It utilizes chunking, embedding, and vector search techniques to enable efficient and accurate retrieval of relevant information from large language models. By converting text into high-dimensional vectors, VectorDB allows for quick comparisons and searches, even with millions of documents. The package is open-source and can be found on GitHub for code and full documentation. It provides a valuable tool for tasks such as classification, regression, clustering, and anomaly detection in machine learning.
https://vectordb.com/