LlamaIndex integration

export OPENAI_API_KEY="$SYNAPSAI_API_KEY"
export OPENAI_API_BASE="https://api.synapsai.cloud/v1"

from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, Settings
from llama_index.llms.openai import OpenAI
from llama_index.embeddings.openai import OpenAIEmbedding

Settings.llm = OpenAI(model="<YOUR_MODEL_ID>", temperature=0.2)
Settings.embed_model = OpenAIEmbedding(model="<YOUR_EMBEDDING_MODEL_ID>")

documents = SimpleDirectoryReader("example_docs/").load_data()
index = VectorStoreIndex.from_documents(documents)

query_engine = index.as_query_engine()
response = query_engine.query("What are the core steps to deploy a model?")
print(response)