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LlamaIndex (GPT Index) is a data framework for your LLM application. Building with LlamaIndex typically involves working with LlamaIndex core and a chosen set of integrations (or plugins). There are two ways to start building with LlamaIndex in
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Python:
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1. **Starter**: `llama-index` (https://pypi.org/project/llama-index/). A starter Python package that includes core LlamaIndex as well as a selection of integrations.
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1. **Starter**: [`llama-index`](https://pypi.org/project/llama-index/). A starter Python package that includes core LlamaIndex as well as a selection of integrations.
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2. **Customized**: `llama-index-core` (https://pypi.org/project/llama-index-core/). Install core LlamaIndex and add your chosen LlamaIndex integration packages on [LlamaHub](https://llamahub.ai/)
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2. **Customized**: [`llama-index-core`](https://pypi.org/project/llama-index-core/). Install core LlamaIndex and add your chosen LlamaIndex integration packages on [LlamaHub](https://llamahub.ai/)
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that are required for your application. There are over 300 LlamaIndex integration
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packages that work seamlessly with core, allowing you to build with your preferred
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LLM, embedding, and vector store providers.
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### Important Links
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LlamaIndex.TS (Typescript/Javascript): https://github.com/run-llama/LlamaIndexTS.
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LlamaIndex.TS [(Typescript/Javascript)](https://github.com/run-llama/LlamaIndexTS)
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Documentation: https://docs.llamaindex.ai/en/stable/.
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[Documentation](https://docs.llamaindex.ai/en/stable/)
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Twitter: https://twitter.com/llama_index.
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[Twitter](https://twitter.com/llama_index)
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Discord: https://discord.gg/dGcwcsnxhU.
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[Discord](https://discord.gg/dGcwcsnxhU)
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### Ecosystem
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- LlamaHub (community library of data loaders): https://llamahub.ai.
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- LlamaLab (cutting-edge AGI projects using LlamaIndex): https://github.com/run-llama/llama-lab.
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- LlamaHub [(community library of data loaders)](https://llamahub.ai)
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- LlamaLab [(cutting-edge AGI projects using LlamaIndex)](https://github.com/run-llama/llama-lab)
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## 🚀 Overview
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- Offers **data connectors** to ingest your existing data sources and data formats (APIs, PDFs, docs, SQL, etc.).
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- Provides ways to **structure your data** (indices, graphs) so that this data can be easily used with LLMs.
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- Provides an **advanced retrieval/query interface over your data**: Feed in any LLM input prompt, get back retrieved context and knowledge-augmented output.
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- Allows easy integrations with your outer application framework (e.g. with LangChain, Flask, Docker, ChatGPT, anything else).
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- Allows easy integrations with your outer application framework (e.g. with LangChain, Flask, Docker, ChatGPT, or anything else).
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LlamaIndex provides tools for both beginner users and advanced users. Our high-level API allows beginner users to use LlamaIndex to ingest and query their data in
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5 lines of code. Our lower-level APIs allow advanced users to customize and extend any module (data connectors, indices, retrievers, query engines, reranking modules),
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## 📄 Documentation
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Full documentation can be found here: https://docs.llamaindex.ai/en/latest/.
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Full documentation can be found [here](https://docs.llamaindex.ai/en/latest/)
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Please check it out for the most up-to-date tutorials, how-to guides, references, and other resources!
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