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Add launch post
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README.md

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It uses the useful indexing utilities of the **LlamaIndex** library and the multi-language **tree-sitter** library to parse the code from many popular programming languages. **tiktoken** is used to count tokens in a code snippet and **LangChain** to obtain embeddings (defaults to **OpenAI**'s `text-embedding-ada-002`) and store them in an embedded **ChromaDB** vector database. It uses **watchdog** for continuous updating of the index based on file system events.
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Read the [launch blog post](https://www.definitive.io/blog/open-sourcing-code-indexer-loop) for more details about why we've built this!
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## Installation:
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Use `pip` to install Code Indexer Loop from PyPI.
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