from langchain.document_loaders import TextLoader
# Create the TextLoader object using the file path
Loader = tl('data.txt')
I want to use a langchain with a string instead of a txt file, is this possible?
def get_response(query):
#print(query)
result = index.query(query)
result = str(result)
Although your question doesn't provide enough information about what you want to achieve; consider that the data for your string must come from somewhere (a PDF file, a URL, a text file, and HTML, a YouTube video etc.).
Having said that, I'll assume that you want to perform a similarity search query on the texts you loaded to retrieve the most relevant texts and output a string. Try this:
from langchain.document_loaders import TextLoader
# Create the TextLoader object using the file path
Loader = tl('data.txt')
document = loader.load()
Here, document
is a Document object (all LangChain loaders output this type of object). This Document object is a list, where each list item is a dictionary with two keys: page_content:
which is a string, and metadata:
which is another dictionary containing information about the document (source, page, URL, etc. they depend on the type of loader you used).
To extract only the text content of document
, try this after loading the file:
text_string = document[0].page_content
Then you can use text_string
for your downstream processing.
If you want to output the query's result as a string, keep in mind that LangChain retrievers give a Document object as output. Therefore, your function should look like this:
def get_response(query):
#print(query)
result = index.query(query)
result_text = result[0].page_content