SelfQueryRetriever gives error for some queries
Labels: name: area: vector store, name: auto:bug, name: area: models

### System Info

Langchain Version: 0.0.245
model: vicuna-13b-v1.5

### Who can help?

_No response_

### Information

- [ ] The official example notebooks/scripts
- [X] My own modified scripts

### Related Components

- [X] LLMs/Chat Models
- [ ] Embedding Models
- [X] Prompts / Prompt Templates / Prompt Selectors
- [X] Output Parsers
- [ ] Document Loaders
- [X] Vector Stores / Retrievers
- [ ] Memory
- [ ] Agents / Agent Executors
- [ ] Tools / Toolkits
- [ ] Chains
- [ ] Callbacks/Tracing
- [ ] Async

### Reproduction

```
db = Chroma(persist_directory=persist_directory, embedding_function=embeddings, client_settings=CHROMA_SETTINGS)    
metadata_field_info = [
   AttributeInfo(
        name='lesson',
        description="Lesson Number of Book",
        type="integer",
    )
]


document_content_description = "English Books"
retriever = SelfQueryRetriever.from_llm(
        llm, db, document_content_description, metadata_field_info, verbose=True
    )
    # llm_chain.predict(context = context, question=question)
    qa = RetrievalQA.from_chain_type(llm=llm ,chain_type="stuff", retriever=retriever, return_source_documents=True, chain_type_kwargs={"prompt": PROMPT})

res = qa(query)
```
this is one of the documents
![image](https://github.com/langchain-ai/langchain/assets/93548699/9c550692-a78f-419d-9e6b-ed61a9fa8dde)



```
 File "/home/roger/Documents/GitHub/RGRgithub/roger/testllm/main.py", line 122, in qanda
    res = qa(query)
          ^^^^^^^^^
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/chains/base.py", line 258, in __call__
    raise e
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/chains/base.py", line 252, in __call__
    self._call(inputs, run_manager=run_manager)
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/chains/retrieval_qa/base.py", line 130, in _call
    docs = self._get_docs(question, run_manager=_run_manager)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/chains/retrieval_qa/base.py", line 210, in _get_docs
    return self.retriever.get_relevant_documents(
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/schema/retriever.py", line 193, in get_relevant_documents
    raise e
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/schema/retriever.py", line 186, in get_relevant_documents
    result = self._get_relevant_documents(
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/retrievers/self_query/base.py", line 100, in _get_relevant_documents
    self.llm_chain.predict_and_parse(
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/chains/llm.py", line 282, in predict_and_parse
    return self.prompt.output_parser.parse(result)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/roger/Documents/GitHub/RGRgithub/roger/testgenv/lib/python3.11/site-packages/langchain/chains/query_constructor/base.py", line 52, in parse
    raise OutputParserException(
langchain.schema.output_parser.OutputParserException: Parsing text
```json
{
    "query": "phoneme",
    "filter": "eq(lesson, 1)"
}

 raised following error:
Unexpected token Token('COMMA', ',') at line 1, column 10.
Expected one of: 
	* LPAR
Previous tokens: [Token('CNAME', 'lesson')]
```

### Expected behavior

- Error caused while using SelfQueryRetriever with RetrieverQA.
- showing only with some queries
- I found that in  **langchain/chains/llm.py, line 282, in predict_and_parse**
```
result = self.predict(callbacks=callbacks, **kwargs)
if self.prompt.output_parser is not None:
    return self.prompt.output_parser.parse(result)
else:
    return result
```

- when result is, the error occurs(**_Q: what is a phoneme)_**
`'```json\n{\n    "query": "phoneme",\n    "filter": "eq(lesson, 1)"\n}\n```'`
- it doesn't occur when result is , **_(Q: What is a phoneme)_**
`'```json\n{\n    "query": "phoneme",\n    "filter": "eq(\\"lesson\\", 1)"\n}\n```'`

- I can't change the version right now.