TypeError: similarity_search_with_score_by_vector() got an unexpected keyword argument 'score_threshold'

### System Info

python 3.9

current version 

### Who can help?

@agola11 
@eyurtsev 
@hwchase17 

### Information

- [X] The official example notebooks/scripts
- [ ] My own modified scripts

### Related Components

- [ ] LLMs/Chat Models
- [X] Embedding Models
- [ ] Prompts / Prompt Templates / Prompt Selectors
- [ ] Output Parsers
- [ ] Document Loaders
- [X] Vector Stores / Retrievers
- [ ] Memory
- [ ] Agents / Agent Executors
- [ ] Tools / Toolkits
- [ ] Chains
- [ ] Callbacks/Tracing
- [ ] Async

### Reproduction
```

from langchain.embeddings import LlamaCppEmbeddings
from langchain.embeddings import HuggingFaceEmbeddings, SentenceTransformerEmbeddings 
from langchain.embeddings import OpenAIEmbeddings
import json
from langchain.retrievers import SVMRetriever


embeddings = LlamaCppEmbeddings(model_path="ggml-model-q4_0.bin")

from langchain.document_loaders import TextLoader


from langchain.text_splitter import CharacterTextSplitter
from langchain.vectorstores import FAISS
from langchain.embeddings import OpenAIEmbeddings


text_list = ['The first Nobel Prize in Physics was awarded in 1901 to Wilhelm Conrad R\u00f6ntgen \"for his discovery of the remarkable rays subsequently named after him\".',
#'The Nobel Prize in Physics is a yearly award given by the Royal Swedish Academy of Sciences for those who have made the most outstanding contributions for mankind in the field of physics. It is one of the five Nobel Prizes established by the 1895 will of Alfred Nobel, which are awarded for outstanding contributions in chemistry, physiology or medicine, literature, and physics. These prizes are awarded in Stockholm, Sweden. The first Nobel Prize in Physics was awarded to Wilhelm R\u00f6ntgen in 1901.',
#'The next Deadpool movie is set to be released on June 1, 2018.'
]




#print(documents)
db = FAISS.from_texts(text_list, embeddings)


retriever = db.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": .5})

docs = retriever.get_relevant_documents("who got the first nobel prize in physics")
print(docs)
```

### Expected behavior

```
Traceback (most recent call last):
  File "llama_index/l.py", line 56, in <module>
    docs = retriever.get_relevant_documents("who got the first nobel prize in physics")
  File "/scratch/c7031420/.conda/envs/langchain/lib/python3.9/site-packages/langchain/vectorstores/base.py", line 395, in get_relevant_documents
    self.vectorstore.similarity_search_with_relevance_scores(
  File ".conda/envs/langchain/lib/python3.9/site-packages/langchain/vectorstores/base.py", line 141, in similarity_search_with_relevance_scores
    docs_and_similarities = self._similarity_search_with_relevance_scores(
  File "/.conda/envs/langchain/lib/python3.9/site-packages/langchain/vectorstores/faiss.py", line 609, in _similarity_search_with_relevance_scores
    docs_and_scores = self.similarity_search_with_score(
  File "/.conda/envs/langchain/lib/python3.9/site-packages/langchain/vectorstores/faiss.py", line 245, in similarity_search_with_score
    docs = self.similarity_search_with_score_by_vector(
TypeError: similarity_search_with_score_by_vector() got an unexpected keyword argument 'score_threshold'
```