ksm26/langchain-for-llm-application-development

Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.

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langchain-for-llm-application-development's Issues

is:issue is:open Getting UnicodeDecodeError Error When Running VectorstoreIndexCreator

I'm getting the following error when implementing this locally:

UnicodeDecodeError                        Traceback (most recent call last)
Cell In[56], line 7
      3 file = 'C:/Users/rasha/OneDrive/Documents/Projects/ttdash/OutdoorClothingCatalog_1000.csv'
      4 loader = CSVLoader(file_path=file)
      6 index = VectorstoreIndexCreator(
----> 7 vectorstore_cls=DocArrayInMemorySearch).from_loaders([loader])
      8 response = index.query(prompt)

File ~\miniconda3\envs\ttdash_env\Lib\site-packages\langchain\indexes\vectorstore.py:72, in VectorstoreIndexCreator.from_loaders(self, loaders)
     70 docs = []
     71 for loader in loaders:
---> 72     docs.extend(loader.load())
     73 return self.from_documents(docs)

File ~\miniconda3\envs\ttdash_env\Lib\site-packages\langchain\document_loaders\csv_loader.py:47, in CSVLoader.load(self)
     45 with open(self.file_path, newline="", encoding=self.encoding) as csvfile:
     46     csv_reader = csv.DictReader(csvfile, **self.csv_args)  # type: ignore
---> 47     for i, row in enumerate(csv_reader):
     48         content = "\n".join(f"{k.strip()}: {v.strip()}" for k, v in row.items())
     49         try:

File ~\miniconda3\envs\ttdash_env\Lib\csv.py:111, in DictReader.__next__(self)
    108 if self.line_num == 0:
    109     # Used only for its side effect.
    110     self.fieldnames
--> 111 row = next(self.reader)
    112 self.line_num = self.reader.line_num
    114 # unlike the basic reader, we prefer not to return blanks,
    115 # because we will typically wind up with a dict full of None
    116 # values

File ~\miniconda3\envs\ttdash_env\Lib\encodings\cp1252.py:23, in IncrementalDecoder.decode(self, input, final)
     22 def decode(self, input, final=False):
---> 23     return codecs.charmap_decode(input,self.errors,decoding_table)[0]

UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 4594: character maps to <undefined>

Any reason why even though I'm using the same CSV data used in the original notebook?

L3-chains.ipynb: OutputParserException in line 34

I got the following error when running L3-chains.ipynb, line 34

chain.run("What is black body radiation?")

OutputParserException: Parsing text
{
    "destination": "physics",
    "next_inputs": "What is black body radiation?"
}
 raised following error:
Got invalid return object. Expected markdown code snippet with JSON object, but got:
{
    "destination": "physics",
    "next_inputs": "What is black body radiation?"
}

I think it's the prompt issue that GPT can not understand the following prompt line 31:

MULTI_PROMPT_ROUTER_TEMPLATE = """Given a raw text input to a \
...
...
<< OUTPUT (remember to include the ```json)>>"""

So it forget to wrap the output with ```json

I suggest use the following prompt instead which is more explicit

<< OUTPUT (remember to wrap the output with ```json (output)```)>>"""