|
|
|
@ -14,7 +14,7 @@ class OllamaEmbeddings(BaseModel, Embeddings):
|
|
|
|
|
|
|
|
|
|
from langchain_ollama import OllamaEmbeddings
|
|
|
|
|
|
|
|
|
|
model = OllamaEmbeddings(model="llama3")
|
|
|
|
|
embedder = OllamaEmbeddings(model="llama3")
|
|
|
|
|
embedder.embed_query("what is the place that jonathan worked at?")
|
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
@ -28,9 +28,7 @@ class OllamaEmbeddings(BaseModel, Embeddings):
|
|
|
|
|
|
|
|
|
|
def embed_documents(self, texts: List[str]) -> List[List[float]]:
|
|
|
|
|
"""Embed search docs."""
|
|
|
|
|
embedded_docs = []
|
|
|
|
|
for doc in texts:
|
|
|
|
|
embedded_docs.append(list(ollama.embeddings(self.model, doc)["embedding"]))
|
|
|
|
|
embedded_docs = ollama.embed(self.model, texts)["embeddings"]
|
|
|
|
|
return embedded_docs
|
|
|
|
|
|
|
|
|
|
def embed_query(self, text: str) -> List[float]:
|
|
|
|
@ -39,11 +37,7 @@ class OllamaEmbeddings(BaseModel, Embeddings):
|
|
|
|
|
|
|
|
|
|
async def aembed_documents(self, texts: List[str]) -> List[List[float]]:
|
|
|
|
|
"""Embed search docs."""
|
|
|
|
|
embedded_docs = []
|
|
|
|
|
for doc in texts:
|
|
|
|
|
embedded_docs.append(
|
|
|
|
|
list((await AsyncClient().embeddings(self.model, doc))["embedding"])
|
|
|
|
|
)
|
|
|
|
|
embedded_docs = (await AsyncClient().embed(self.model, texts))["embeddings"]
|
|
|
|
|
return embedded_docs
|
|
|
|
|
|
|
|
|
|
async def aembed_query(self, text: str) -> List[float]:
|
|
|
|
|