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BISHENG
Open-source LLM devops platform for enterprise AI applications
Apache-2.0
ABOUT
Building production LLM applications requires integrating multiple capabilities — RAG pipelines, agent orchestration, model deployment, prompt management, monitoring, and fine-tuning — across different tools with inconsistent APIs and no unified operations view. Bisheng provides an all-in-one LLM devops platform with a drag-and-drop workflow builder, built-in RAG engine, agent framework, model management, and production observability, reducing the effort to go from prototype to production deployment.
INSTALL
docker compose up -d
INTEGRATION GUIDE
1. Build visual RAG pipelines with document ingestion, chunking, embedding, and retrieval without writing code
2. Orchestrate multi-step LLM workflows connecting knowledge bases, APIs, and AI models in a drag-and-drop interface
3. Manage multiple LLM models, track prompts, and monitor production inference performance from a single console
4. Fine-tune open-source models on enterprise data with built-in training pipeline management and experiment tracking
5. Deploy and monitor AI applications with production-grade logging, alerting, and usage analytics dashboards
TAGS
llmdevopsenterpriseragworkflowpipelineagentfine-tuningmonitoringvisual-builder