Congratulations!

1. Congratulations!

Congratulations on making it to the end of the course! Let's recap what you've learned and finish with some resources to continue your learning journey.

2. Chapter 1 - What are Embeddings?

In Chapter 1, you learned that embeddings are vector, or numerical, representations of text that capture its semantic meaning. You used OpenAI's embedding model to create these vector representations, and computed the cosine distance to compare the similarity between texts. This unlocked applications like semantic search and recommendation engines that could relate text by their semantic meaning.

3. Chapter 2 - Embeddings for AI Applications

In Chapter 2, you began using the OpenAI embedding model to enable real-world use cases, including semantic search and recommendation engines. You also saw how embeddings can be used for classification tasks, including sentiment analysis and categorization.

4. Chapter 3 - Vector Databases

Finally, in Chapter 3, you took a big step towards creating a production system by learning about vector databases. You learned how to use Chroma to embed, store, update, and query vectors in a more reproducible and efficient way.

5. Where next?

So what's next? Luckily, DataCamp has a ton of resources for you to continue your journey. For enterprise companies with more funds or start-ups looking to move quickly to capture demand, a cloud-based, managed vector database could be a good option. Two of the most popular are Pinecone and Weaviate, and you can learn about both right here on DataCamp! For many AI applications, including chatbots, embeddings and vector databases are only a part of a larger system, which may also include large language models (or LLMs). LangChain is a great framework to tie all of these pieces together under a single, unified syntax, so check out these resources out if you're interested in learning more!

6. Let's practice!

Congratulations, again! Best of luck on the rest of your learning journey!

Create Your Free Account

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.