textweaver 0.2.2

A FastAPI-based web server for working with LLMs, embedding models, and PostgresSQL.

TextWeaver

TextWeaver is a FastAPI-based web server designed for working with Large Language Models (LLMs), particularly Embeddings models. It simplifies the process of handling complex natural language processing tasks and offers a robust and scalable solution for both developers and researchers to store and query against embeddings in PostgresSQL.

Features

• FastAPI Integration: Leverage the power of FastAPI for creating modern and efficient web APIs.
• LLM and Embedding Support: Easily work with LLMs and various embedding models for rich textual analysis.
• Scalable Architecture: Designed to grow with your needs, TextWeaver can be deployed across various environments.
• User-Friendly Configuration: Get started quickly with intuitive configuration options.

Installation

Install TextWeaver directly from PyPI using the following command:

pip install textweaver

Usage

Once installed, you can start the TextWeaver server using the following command:

textweaver

For further customization and detailed documentation, please refer to the project's repository.

Contribution

We welcome contributions from the community! Please check the contributing guidelines in the repository for more information on how you can get involved.

License

TextWeaver is released under the MIT License. See the LICENSE file in the repository for more details.

Contact

For any inquiries, support, or collaboration, please contact the author at [e-mail] or open an issue on the project's GitHub page.