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30 lines
885 B
Python
30 lines
885 B
Python
import weaviate
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from llama_index import ServiceContext, VectorStoreIndex
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from llama_index.llms import LOCALAI_DEFAULTS, OpenAILike
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from llama_index.vector_stores import WeaviateVectorStore
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# Weaviate vector store setup
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vector_store = WeaviateVectorStore(
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weaviate_client=weaviate.Client("http://weviate.default"), index_name="AIChroma"
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)
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# LLM setup, served via LocalAI
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llm = OpenAILike(temperature=0, model="gpt-3.5-turbo", **LOCALAI_DEFAULTS)
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# Service context setup
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service_context = ServiceContext.from_defaults(llm=llm, embed_model="local")
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# Load index from stored vectors
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index = VectorStoreIndex.from_vector_store(
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vector_store, service_context=service_context
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)
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# Query engine setup
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query_engine = index.as_query_engine(
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similarity_top_k=1, vector_store_query_mode="hybrid"
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)
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# Query example
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response = query_engine.query("What is LocalAI?")
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print(response)
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