The rise of large language models has taken the world by storm and necessitated additional tools, like vector databases, to augment their use cases. ChromaDB is a vector database designed specifically with LLM applications in mind, and it’s a great choice for your next LLM application.
In this video course, you’ve learned:
- What vectors are and how they represent unstructured information
- What word and text embeddings are
- How you can work with embeddings using spaCy and SentenceTransformers
- What a vector database is
- How you can use ChromaDB to add context to a large language model
You can feel confident in your understanding of vector databases and their use in LLM applications. Be sure to keep a close eye on ChromaDB as the library progresses, and think about how you can leverage it on your own unstructured data. What will you build with ChromaDB?
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