question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"
question = "What NFL team won the Super Bowl in the year Justin Bieber was born?"
llm_chain.predict(question=question)
```
**Embed & Search Documents**
We support two vector databases to store and search embeddings -- FAISS and Elasticsearch. Here's a code snippet showing how to use FAISS to store embeddings and search for text similar to a query. Both database backends are featured in this [example notebook](https://github.com/hwchase17/langchain/blob/master/notebooks/examples/embeddings.ipynb).
We support two vector databases to store and search embeddings -- FAISS and Elasticsearch. Here's a code snippet showing how to use FAISS to store embeddings and search for text similar to a query. Both database backends are featured in this [example notebook](https://github.com/hwchase17/langchain/blob/master/notebooks/examples/embeddings.ipynb).
```
from langchain.embeddings.openai import OpenAIEmbeddings