llama index example (#1237)

examples/llamaindex/main.py

@@ -0,0 +1,38 @@
+import os
+
+import weaviate
+
+from llama_index import ServiceContext, VectorStoreIndex, StorageContext
+from llama_index.llms import LocalAI
+from llama_index.vector_stores import WeaviateVectorStore
+from llama_index.storage.storage_context import StorageContext
+
+# Weaviate client setup
+client = weaviate.Client("http://weviate.default")
+
+# Weaviate vector store setup
+vector_store = WeaviateVectorStore(weaviate_client=client, index_name="AIChroma")
+
+# Storage context setup
+storage_context = StorageContext.from_defaults(vector_store=vector_store)
+
+# LocalAI setup
+llm = LocalAI(temperature=0, model_name="gpt-3.5-turbo", api_base="http://local-ai.default", api_key="stub")
+llm.globally_use_chat_completions = True;
+
+# Service context setup
+service_context = ServiceContext.from_defaults(llm=llm, embed_model="local")
+
+# Load index from stored vectors
+index = VectorStoreIndex.from_vector_store(
+    vector_store,
+    storage_context=storage_context,
+    service_context=service_context
+)
+
+# Query engine setup
+query_engine = index.as_query_engine(similarity_top_k=1, vector_store_query_mode="hybrid")
+
+# Query example
+response = query_engine.query("What is LocalAI?")
+print(response)