mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
c010ec8b71
- `.get_relevant_documents(query)` -> `.invoke(query)`
- `.get_relevant_documents(query=query)` -> `.invoke(query)`
- `.get_relevant_documents(query, callbacks=callbacks)` ->
`.invoke(query, config={"callbacks": callbacks})`
- `.get_relevant_documents(query, **kwargs)` -> `.invoke(query,
**kwargs)`
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
70 lines
1.5 KiB
Markdown
70 lines
1.5 KiB
Markdown
# langchain-exa
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This package contains the LangChain integrations for Exa Cloud generative models.
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## Installation
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```bash
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pip install -U langchain-exa
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```
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## Exa Search Retriever
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You can retrieve search results as follows
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```python
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from langchain_exa import ExaSearchRetriever
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exa_api_key = "YOUR API KEY"
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# Create a new instance of the ExaSearchRetriever
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exa = ExaSearchRetriever(exa_api_key=exa_api_key)
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# Search for a query and save the results
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results = exa.invoke("What is the capital of France?")
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# Print the results
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print(results)
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```
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## Exa Search Results
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You can run the ExaSearchResults module as follows
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```python
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from langchain_exa import ExaSearchResults
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# Initialize the ExaSearchResults tool
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search_tool = ExaSearchResults(exa_api_key="YOUR API KEY")
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# Perform a search query
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search_results = search_tool._run(
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query="When was the last time the New York Knicks won the NBA Championship?",
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num_results=5,
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text_contents_options=True,
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highlights=True
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)
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print("Search Results:", search_results)
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```
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## Exa Find Similar Results
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You can run the ExaFindSimilarResults module as follows
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```python
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from langchain_exa import ExaFindSimilarResults
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# Initialize the ExaFindSimilarResults tool
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find_similar_tool = ExaFindSimilarResults(exa_api_key="YOUR API KEY")
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# Find similar results based on a URL
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similar_results = find_similar_tool._run(
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url="http://espn.com",
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num_results=5,
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text_contents_options=True,
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highlights=True
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)
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print("Similar Results:", similar_results)
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``` |