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LlamaIndex is a \"data framework\" to help\nyou build LLM apps. It provides the following tools:\n\nOffers data connectors to ingest your existing data sources and data formats\n(APIs, PDFs, docs, SQL, etc.)\nProvides ways to structure your data (indices, graphs) so that this data can be\neasily used with LLMs.\nProvides an advanced retrieval/query interface over your data:\nFeed in any LLM input prompt, get back retrieved context and knowledge-augmented output.\nAllows easy integrations with your outer application framework\n(e.g. with LangChain, Flask, Docker, ChatGPT, anything else).\nLlamaIndex provides tools for both beginner users and advanced users.\nOur high-level API allows beginner users to use LlamaIndex to ingest and\nquery their data in 5 lines of code. Our lower-level APIs allow advanced users to\ncustomize and extend any module (data connectors, indices, retrievers, query engines,\nreranking modules), to fit their needs."], "embeddings": [[-0.005669823847711086, 0.022536208853125572, -0.020475756376981735, -0.040522251278162, -0.017513854429125786, 0.014809508807957172, -0.020905015990138054, -0.010473971255123615, -0.022865308448672295, -0.026971906423568726, 0.008377745747566223, 0.0019924871157854795, -0.004907885566353798, -0.0027401167899370193, 0.002867106581106782, 0.009272039867937565, 0.0006599889602512121, 0.018443919718265533, -0.00470040924847126, -0.013178316876292229, 0.0111965611577034, -0.016111601144075394, -0.010681447573006153, -0.02403862215578556, -0.004775530193001032, 0.004045785870403051, 0.017685558646917343, -0.03262384608387947, -0.02074762061238289, 0.00027901973226107657, 0.014029684476554394, -0.003874081652611494, -0.023423347622156143, 0.002861740766093135, -0.011947767809033394, 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