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Fix memory imports for embedding functions (#1497)

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Brandon Hancock (bhancock_ai)
2024-10-23 11:21:27 -04:00
committed by GitHub
parent e1fd83e6a7
commit a921828e51
1 changed files with 5 additions and 3 deletions
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8
docs/concepts/memory.mdx
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@@ -118,7 +118,7 @@ Alternatively, you can directly pass the OpenAIEmbeddingFunction to the embedder
Example:
```python Code
from crewai import Crew, Agent, Task, Process
from chromadb.utils.embedding_functions.openai_embedding_function import OpenAIEmbeddingFunction
from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction
my_crew = Crew(
agents=[...],
@@ -174,6 +174,7 @@ my_crew = Crew(
### Using Azure OpenAI embeddings
```python Code
from chromadb.utils.embedding_functions import OpenAIEmbeddingFunction
from crewai import Crew, Agent, Task, Process
my_crew = Crew(
@@ -182,7 +183,7 @@ my_crew = Crew(
process=Process.sequential,
memory=True,
verbose=True,
embedder=embedding_functions.OpenAIEmbeddingFunction(
embedder=OpenAIEmbeddingFunction(
api_key="YOUR_API_KEY",
api_base="YOUR_API_BASE_PATH",
api_type="azure",
@@ -195,6 +196,7 @@ my_crew = Crew(
### Using Vertex AI embeddings
```python Code
from chromadb.utils.embedding_functions import GoogleVertexEmbeddingFunction
from crewai import Crew, Agent, Task, Process
my_crew = Crew(
@@ -203,7 +205,7 @@ my_crew = Crew(
process=Process.sequential,
memory=True,
verbose=True,
embedder=embedding_functions.GoogleVertexEmbeddingFunction(
embedder=GoogleVertexEmbeddingFunction(
project_id="YOUR_PROJECT_ID",
region="YOUR_REGION",
api_key="YOUR_API_KEY",