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Cannot pass document by retriever and throws "text.replace is not a function" error #6912

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5 tasks done
lynicis opened this issue Oct 1, 2024 · 3 comments
Open
5 tasks done

Cannot pass document by retriever and throws "text.replace is not a function" error #6912

lynicis opened this issue Oct 1, 2024 · 3 comments
Labels
auto:bug Related to a bug, vulnerability, unexpected error with an existing feature

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@lynicis
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lynicis commented Oct 1, 2024

Checked other resources

  • I added a very descriptive title to this issue.
  • I searched the LangChain.js documentation with the integrated search.
  • I used the GitHub search to find a similar question and didn't find it.
  • I am sure that this is a bug in LangChain.js rather than my code.
  • The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).

Example Code

const serializeDocuments = (documents: Array<Document>) =>
        documents.map((document) => JSON.stringify(document)).toString();

const chain = RunnableSequence.from([
    RunnableLambda.from((input: { foo: string; bar: string }) => input),
    {
        context: retriever.pipe(serializeDocuments),
        foo: new RunnablePassthrough(),
        bar: new RunnablePassthrough(),
    },
    prompt,
    this.llm,
]);

const output = await chain.invoke({ foo, bar });

Error Message and Stack Trace (if applicable)

TypeError: text.replace is not a function
at OpenAIEmbeddings.embedQuery
at PineconeStore.similaritySearch
at VectorStoreRetriever.getRelevantDocuments

Description

I send the document pageContent and metadata with some inputs to the prompt but it throws error: text.replace is not a function

I've tried different ways to send the document and other fields but they don't work either, I've also looked for other issues similar to my case but they don't work for me.

System Info

yarn info v1.22.22
{
name: 'langchain',
'dist-tags': {
next: '0.3.2-rc.0',
latest: '0.3.2',
'tag-for-publishing-older-releases': '0.2.20'
},
versions: [
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'0.0.5',
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'0.0.8',
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'0.0.12',
'0.0.13',
'0.0.14',
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],
time: {
created: '2023-02-14T18:06:57.074Z',
modified: '2024-09-15T06:29:13.702Z',
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import: './retrievers/self_query.js',
require: './retrievers/self_query.cjs'
},
'./stores/file/in_memory': {
types: {
import: './stores/file/in_memory.d.ts',
default: './stores/file/in_memory.d.ts',
require: './stores/file/in_memory.d.cts'
},
import: './stores/file/in_memory.js',
require: './stores/file/in_memory.cjs'
},
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import: './chains/graph_qa/cypher.d.ts',
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require: './chains/graph_qa/cypher.cjs'
},
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require: './retrievers/multi_vector.d.cts'
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require: './retrievers/multi_vector.cjs'
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@lynicis lynicis changed the title Cannot pass retriever onto RAG facing "text.replace is not a function" Cannot pass document by retriever and throws "text.replace is not a function" error Oct 1, 2024
@dosubot DosuBot
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dosubot bot commented Oct 1, 2024

Hey @lynicis! I'm here to help you with any bugs, questions, or to guide you on becoming a contributor. Let's tackle this issue together!

I found a similar issue that might help you resolve the "text.replace is not a function" error. The error often occurs when a non-string value is processed where a string is expected, particularly in the OpenAIEmbeddings.embedQuery method.

Solution:

  1. Ensure Correct Input Types: The embedQuery method expects a string input. Make sure that the input being passed is a string and not undefined or any other type.

  2. Filter Undefined Content: If your documents might have undefined pageContent, filter them out before processing:

    const newDocs = documents
    .filter((doc) => doc.pageContent)
    .map((doc) => ({
        ...doc,
        metadata: {
            ...doc.metadata,
            s3Key: key,
        },
    }));

  3. Check Retriever Implementation: Ensure that the retriever is correctly implemented and returns the expected types. It should be a subclass of BaseRetrieverInterface or implement RunnableInterface.

  4. Invoke Chain Correctly: When using RunnableSequence, ensure that the input is structured correctly. Here's an example of how to set up the chain:

    const ragChain = RunnableSequence.from([
      RunnableLambda.from((input) => input.question),
      {
        context: retriever.pipe(formatDocumentsAsString),
        question: new RunnablePassthrough(),
      },
      prompt,
      llm,
      new StringOutputParser(),
    ]);

const response = ragChain.invoke({ question });

These steps should help you address the error by ensuring that the inputs are correctly formatted and processed [1][2].

To continue talking to Dosu, mention @dosu.

@dosubot dosubot bot added the auto:bug Related to a bug, vulnerability, unexpected error with an existing feature label Oct 1, 2024
@jacoblee93
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Hey @lynicis, I believe this was fixed here:

#6920

Please reopen if upgrading to the latest @langchain/pinecone doesn't resolve this.

@lynicis
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lynicis commented Oct 14, 2024

Hey @lynicis, I believe this was fixed here:

#6920

Please reopen if upgrading to the latest @langchain/pinecone doesn't resolve this.

Still same on "@langchain/pinecone": "^0.1.1"

@lynicis lynicis mentioned this issue Oct 14, 2024
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@jacoblee93 jacoblee93 reopened this Oct 14, 2024
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