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Source channel @githubtrending · Post #14800 · Jun 7

#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

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#java #anthropic #chatgpt #chroma #embeddings #gemini #gpt #huggingface #langchain #llama #milvus #ollama #onnx #openai #openai_api #pgvector #pinecone #vector_database #weaviate

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djangoproject

@djangoproject · Post #174 · 09/22/2016, 07:16 PM

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gc — #Garbage#Collector interface This module provides an interface to the #optional garbage collector. It provides the ability to disable the collector, tune the collection frequency, and set #debugging options. It also provides access to unreachable #objects that the collector found but cannot free. Since the collector supplements the reference counting already used in Python, you can disable the collector if you are sure your program does not create reference cycles. https://docs.python.org/3/library/gc.html

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#garbage #collector #optional #debugging #objects