TGTGInsighttelegram intelligenceLIVE / telegram public index
← Python Заметки

TGINSIGHT SIMILAR POSTS

Најди сличен содржај

Изворен канал @pythonotes · Post #104 · 19 јун.

Ещё немного про base64. Собрал пример со встроенной в код картинкой. Это иконка для окна на PySide2. Файл кодирован в base64 и просто сохранён в переменной. Для использования этих данных даже не пришлось сохранять их в новый файл. Иконка создаётся на лету с помощью метода QPixmap.loadFromData() ... raw_data = base64.decodebytes(ico_encoded) ico = QPixmap() ico.loadFromData(raw_data, "PNG") ... 🌎 Полный пример смотрите в gists. #libs#tricks#qt

Резултати

Пронајдени 1 слични објави

Пребарај: #weaviate

当前筛选 #weaviate清除筛选
GitHub Trends

@githubtrending · Post #14800 · 07.06.2025 г., 11:30

#java#anthropic#chatgpt#chroma#embeddings#gemini#gpt#huggingface#java#langchain#llama#milvus#ollama#onnx#openai#openai_api#pgvector#pinecone#vector_database#weaviate LangChain4j helps you add powerful AI to your Java applications by making it easy to use Large Language Models (LLMs). It provides a simple way to switch between different LLMs and embedding stores without needing to learn each one's specific API. This means you can easily experiment with different models and tools, making your development process faster and more flexible. LangChain4j also offers many examples and tools to help you build complex AI applications quickly, such as chatbots and retrieval systems. This simplifies the integration of AI into your projects, allowing you to focus on creating better applications. https://github.com/langchain4j/langchain4j