deepsense-ai/ragbits
A Python framework providing modular building blocks for rapidly developing retrieval-augmented generation (RAG) and other GenAI applications.
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Ragbits offers reusable components for building GenAI applications including prompt management, LLM orchestration via LiteLLM supporting over 100 models, vector store integration with Qdrant and PgVector, and developer tooling. It provides type-safe LLM interactions through Python generics, modular installation to reduce dependencies, and CLI tools for managing vector stores and testing prompts from the terminal.
Frequently asked
- What is deepsense-ai/ragbits?
- A Python framework providing modular building blocks for rapidly developing retrieval-augmented generation (RAG) and other GenAI applications.
- Is ragbits open source?
- Yes — deepsense-ai/ragbits is open source, released under the MIT license.
- What language is ragbits written in?
- deepsense-ai/ragbits is primarily written in Python.
- How popular is ragbits?
- deepsense-ai/ragbits has 1.7k stars on GitHub.
- Where can I find ragbits?
- deepsense-ai/ragbits is on GitHub at https://github.com/deepsense-ai/ragbits.