Volc Engine
This notebook provides you with a guide on how to load the Volcano Embedding class.
API Initialization
To use the LLM services based onVolcEngine, you have to initialize these parameters:
You could either choose to init the AK,SK in environment variables or init params:
export VOLC_ACCESSKEY=XXX
export VOLC_SECRETKEY=XXX
"""For basic init and call"""
import os
from langchain_community.embeddingsimport VolcanoEmbeddings
os.environ["VOLC_ACCESSKEY"]=""
os.environ["VOLC_SECRETKEY"]=""
embed= VolcanoEmbeddings(volcano_ak="", volcano_sk="")
print("embed_documents result:")
res1= embed.embed_documents(["foo","bar"])
for rin res1:
print("", r[:8])
API Reference:VolcanoEmbeddings
embed_documents result:
[0.02929673343896866, -0.009310632012784481, -0.060323506593704224, 0.0031018739100545645, -0.002218986628577113, -0.0023125179577618837, -0.04864659160375595, -2.062115163425915e-05]
[0.01987231895327568, -0.026041055098176003, -0.08395249396562576, 0.020043574273586273, -0.028862033039331436, 0.004629664588719606, -0.023107370361685753, -0.0342753604054451]
print("embed_query result:")
res2= embed.embed_query("foo")
print("", r[:8])
embed_query result:
[0.01987231895327568, -0.026041055098176003, -0.08395249396562576, 0.020043574273586273, -0.028862033039331436, 0.004629664588719606, -0.023107370361685753, -0.0342753604054451]
Related
- Embedding modelconceptual guide
- Embedding modelhow-to guides