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docs(quick_start.md): adding langchain embedding tutorials to docs

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Krrish Dholakia
2023-12-06 23:14:02 -08:00
parent 8cc0e8e5c5
commit d18a5e8a11
1 changed files with 34 additions and 0 deletions
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docs/my-website/docs/proxy/quick_start.md
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@@ -114,6 +114,40 @@ response = chat(messages)
print(response)
```
</TabItem>
<TabItem value="langchain-embedding" label="Langchain Embeddings">
```python
from langchain.embeddings import OpenAIEmbeddings
embeddings = OpenAIEmbeddings(model="sagemaker-embeddings", openai_api_base="http://0.0.0.0:8000", openai_api_key="temp-key")
text = "This is a test document."
query_result = embeddings.embed_query(text)
print(f"SAGEMAKER EMBEDDINGS")
print(query_result[:5])
embeddings = OpenAIEmbeddings(model="bedrock-embeddings", openai_api_base="http://0.0.0.0:8000", openai_api_key="temp-key")
text = "This is a test document."
query_result = embeddings.embed_query(text)
print(f"BEDROCK EMBEDDINGS")
print(query_result[:5])
embeddings = OpenAIEmbeddings(model="bedrock-titan-embeddings", openai_api_base="http://0.0.0.0:8000", openai_api_key="temp-key")
text = "This is a test document."
query_result = embeddings.embed_query(text)
print(f"TITAN EMBEDDINGS")
print(query_result[:5])
```
</TabItem>
</Tabs>