{"repo":"lexy-ai/lexy","free":true,"listed":false,"github":"https://github.com/lexy-ai/lexy","clone":"git clone https://github.com/lexy-ai/lexy.git","description":"Data pipelines for AI applications","language":"Python","stars":12,"topics":["ai","data","data-engineering","developer-tools","devops","embeddings","gpt","llmops","openai","python"],"license":"Apache-2.0","category":"data-pipelines","readme_excerpt":"Lexy Lexy is a data platform for building AI-powered applications. You can use Lexy to: - Build Retrieval Augmented Generation (RAG) applications. - Provide relevant context for AI agents. - Add long-term memory to chat-based applications. - Extract structured data from unstructured documents. To run Lexy locally, you'll need Docker installed. You'll also need Python 3.11 or greater. To install Lexy, you can either build from source (recommended) or install from PyPI (standalone mode). Build from source Clone the repo Install dependencies First create a virtual environment. Make sure that you're using Python 3.11 or greater. You can check your Python version by running python3 --version . Next, install the dev dependencies. This will also create a .env file in the working directory if it doesn't exist already. Run docker compose To build and run the docker containers, run the following command: To stop the containers, run docker compose down . Install from PyPI Use this method if you're already familiar with Lexy and are using it as a dependency in your own project. You'll need to provide instances of the Lexy server, worker, and database. See the Quickstart guide for more information and a detailed example. Configuring storage In order to upload and store files to Lexy, you'll need to configure either Amazon S3 or Google Cloud Storage. Amazon S3 To configure Amazon S3, you can use aws configure on the command line (recommended) or set the value of AWS ACCESS KEY ID and AWS S","default_branch":null,"files":null,"tree":[],"storefront":"/r/lexy-ai","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/lexy-ai/lexy/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}