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docs: fix some minor typos in README (#107)

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Small docs fixes
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Nicholas Larus-Stone 2022-11-09 13:23:29 -08:00 committed by GitHub
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@ -96,16 +96,17 @@ template = """Question: {question}
Answer: Let's think step by step.""" Answer: Let's think step by step."""
prompt = Prompt(template=template, input_variables=["question"]) prompt = Prompt(template=template, input_variables=["question"])
llm_chain = LLMChain(prompt=prompt, llm=OpenAI(temperature=0)) llm = OpenAI(temperature=0)
llm_chain = LLMChain(prompt=prompt, llm=llm)
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) llm_chain.predict(question=question)
``` ```
**Embed & Search Documents** **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 from langchain.embeddings.openai import OpenAIEmbeddings