LlamaIndex

Turn your documents — PDFs, notes, databases, emails — into a searchable knowledge base that AI can answer questions about. Ask 'what did we decide in last month's meeting?' or 'summarize this 200-page report' and get accurate, sourced answers.

1. pip install llama-index llama-index-llms-anthropic llama-index-embeddings-openai 2. from llama_index.core import VectorStoreIndex, SimpleDirectoryReader 3. documents = SimpleDirectoryReader("./data").load_data() 4. index = VectorStoreIndex.from_documents(documents) 5. query_engine = index.as_query_engine() 6. response = query_engine.query("What is this document about?")