changedJupyter Notebook
⚡ Набор решений для разработки LLM-приложений на русском языке с поддержкой GigaChat ⚡
View on GitHub ↗changedPython
⚡ Building applications with LLMs through composability ⚡
View on GitHub ↗changedPython
⚡ Building applications with LLMs through composability ⚡
View on GitHub ↗unchangedPython
⚡ Building applications with LLMs through composability ⚡
View on GitHub ↗changedPython
⚡ Building applications with LLMs through composability ⚡
View on GitHub ↗changedPython
⚡ Building applications with LLMs through composability ⚡
View on GitHub ↗changedPython
⚡ Building applications with LLMs through composability ⚡
View on GitHub ↗changedPython
⚡ Building applications with LLMs through composability ⚡
View on GitHub ↗changedPython
⚡ Building applications with LLMs through composability ⚡
View on GitHub ↗changedJupyter Notebook
🦜🔗 Build context-aware reasoning applications 🦜🔗
View on GitHub ↗Jupyter Notebook
🦜🔗 Build context-aware reasoning applications 🦜🔗
View on GitHub ↗Jupyter Notebook
🦜🔗-🤖 Combine GPT-Researcher with LangChain tools, chains and other components!
View on GitHub ↗Jupyter Notebook
🦜🔗 Build context-aware reasoning applications 🦜🔗
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Comments (1)
LangChain is definitely the go-to framework for building LLM apps. Its composability makes complex agent workflows much easier to manage.