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First issue #413

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First issue #413

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09c1921
Issue 393
Dec 4, 2023
8305166
adding comments
Dec 4, 2023
cccdf5f
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Dec 4, 2023
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4 changes: 2 additions & 2 deletions examples/quickstart_guided.py
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Original file line number Diff line number Diff line change
Expand Up @@ -11,8 +11,8 @@
# response = client.complete(prompt = 'Is 1+1=10000?',
# context='', openai_key=settings.openai_api_key, finetune = False, data_synthesis = False, regex=r"\s*([Yy]es|[Nn]o|[Nn]ever|[Aa]lways)")
# print(response)
# response = client.complete(prompt = 'Did MJ win 6 titles with the Bulls',
# context='', openai_key=settings.openai_api_key, finetune = False, data_synthesis = False,choices=["Hell yeah dude that's correct","No way, that's hella false"])
#response = client.complete(prompt = 'Did MJ win 6 titles with the Bulls',
context='', openai_key=settings.openai_api_key, finetune = False, data_synthesis = False,choices=["Hell yeah dude that's correct","No way, that's hella false"])
# print(response)
response = client.complete(prompt = 'What does 1+1 equal?',
context='', openai_key=settings.openai_api_key, finetune = True, data_synthesis = True, type="integer")
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11 changes: 10 additions & 1 deletion src/llm_vm/vector_db.py
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Original file line number Diff line number Diff line change
Expand Up @@ -31,7 +31,10 @@ def upsert(self, **kwargs):
@abstractmethod
def query(self, **kwargs):
pass


@abstractmethod
def faiss_index(self, index_name):
pass

class PineconeDB(VectorDB):
def __init__(self, api_key, pinecone_env):
Expand Down Expand Up @@ -61,6 +64,9 @@ def delete_index(self, index_name):
self.pinecone.delete_index(index_name)
print(f"${index_name} has been deleted")

def faiss_index(self, index_name):
return self.pinecone.add_faiss_index(index_name)

def upsert(self, **kwargs):
if "vectors" not in kwargs:
raise ValueError("Expected vectors as a keyword argument but found None")
Expand Down Expand Up @@ -100,6 +106,9 @@ def describe_index(self, class_name):

def delete_index(self, class_name):
self.client.schema.delete_class(class_name)

def faiss_index(self, class_name):
return self.client.schema.add_faiss_index(class_name)

def upsert(self, class_name, batch_size=50, num_workers=1, dynamic=True, dataset=[]):
self.client.batch.configure(batch_size=batch_size, num_workers=num_workers, dynamic=dynamic)
Expand Down