LangChain vs LlamaIndex: Choosing the Right Framework for Your LLM Application
Nanonets
NOVEMBER 20, 2024
load_data() index = VectorStoreIndex.from_documents(documents, transformations=[SentenceSplitter(chunk_size=2048, chunk_overlap=0)],) query_engine = index.as_query_engine() response = query_engine.query("What is LlamaIndex?")
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