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AdalFlow
AdalFlow: The library to build & auto-optimize LLM applications.
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python/poetryagent-appPythonmakeauto-promptingrerankerfaissagentsummarizationframeworkmachine-learningpythonllmaichatbotoptimizerinformation-retrievalnlpgenerative-airagretrievertrainerbm25question-answering
AdalFlow is a Python library for building LLM applications such as agents, RAG pipelines, and chatbots. It also includes auto-optimization capabilities, with topics covering retrievers, rerankers, trainers, and auto-prompting.
Use it when you want to both build and automatically optimize LLM pipelines from one Python library.
Use it to
- Build RAG pipelines with retrievers like BM25, FAISS, and rerankers
- Auto-optimize prompts with the optimizer and trainer
- Construct agent and chatbot applications
- Implement question answering and summarization tasks
For Python developers building and tuning LLM and RAG applications
- Role
- agent-app
- Language
- Python
- Licence
- MIT
- Forks
- 386
- Open issues
- 33
- Last push
- 2026-05-29
- Latest release
- v0.0.0-alpha · 2024-07-02
topicsllmagentragauto-promptingretrieverpython