Open-source self-hostable end-to-end LLMOps platform unifying tracing, evals, simulations, datasets, gateway, and guardrails.
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A scalable general purpose micro-framework for defining dataflows.
IPython notebooks from Data School's video tutorials on scikit-learn.
Aims at simplifying the Data Science experience of deploying Kubeflow Pipelines workflows.
Build better AI systems with evals, RAG, agents, synthetic data, fine-tuning, and prompt optimization. Free app + open-source library.
Open source MLOps project that eases model handoffs between data scientist and DevOps.
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
No-code platform to build generative AI apps, chatbots and agents with your data.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. opensource.
Build and manage real-life ML, AI, and data science projects with Metaflow.
Milvus is open source vector database for production AI, written in Go and C++, scalable and blazing fast for billions of embedding vectors.
Generic mechanism for data scientists to build, run, and monitor ML tasks and pipelines.
An open standard for connecting AI models to external tools and data sources. MCP Registry opensource.
ModelScope supports machine learning models, deployment, inspection, datasets, or AI development workflows.
ModelScope Finetuning supports machine learning models, deployment, inspection, datasets, or AI development workflows.
Get your ideas to market faster with a flexible, AI-ready database. MongoDB makes working with data easy.
These agents are initialized from the dataset, embodying varied social traits and preferences.
Typed graph database where agents branch and merge like Git. S3-native, Rust, traversal + vector + BM25 in one runtime.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
Build tool for data science pipelines.