Stars
Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
Qwen2.5 is the large language model series developed by Qwen team, Alibaba Cloud.
[ACL'24 Outstanding] Data and code for L-Eval, a comprehensive long context language models evaluation benchmark
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
An open-sourced LLM judge for evaluating LLM-generated answers.
DSPy: The framework for programming—not prompting—foundation models
Evaluate your LLM's response with Prometheus and GPT4 💯
🦜🔗 Build context-aware reasoning applications
Build resilient language agents as graphs.
Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Drag & drop UI to build your customized LLM flow
This application receives messages from a mqtt broker and sends the messages to a kafka cluster. Topic mapping is configurable.
Apache Spark - A unified analytics engine for large-scale data processing
This application writes MSB events into Kafka and publishes Kafka messages as MSB events to the Manufacturing Service Bus.
The java client library to connect to the websocket interface of the MSB (Manufacturing Service Bus)