from langchain_elasticsearch import ElasticsearchStore
from langchain_community.llms import Ollama
from langchain_community.embeddings import OllamaEmbeddings

es_url = "http://localhost:9200"

base_url = "http://ollama-light-service:11434"
model_name = "qwen2.5:1.5b"

print(f"Starting server")

llm = Ollama(base_url=base_url, model=model_name)
embeddings = OllamaEmbeddings(base_url=base_url, model="nomic-embed-text")


vector_store = ElasticsearchStore(
    es_url=es_url, index_name="avap_manuals", embedding=embeddings
)
print(vector_store)