Chroma is an open-source vector store and embedding database, useful for enhancing applications powered by large language models (LLMs) by facilitating the storage and utilization of domain knowledge in LLMs, which typically lack internal memory. Particularly in text-to-text applications, Chroma can automate the intricate process of generating word embeddings and analyzing similarities between them and query embeddings, thereby considerably streamlining operations. It also gives you the option to store custom embeddings, fostering a blend of automation and customization. In light of its capabilities to enhance the functionality of LLM-powered applications, we advise teams to assess Chroma, tapping into its potential to refine the way domain knowledge is integrated into such applications.
