Vector database plugin for Postgres, written in Rust, specifically designed for LLM.
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Turns your ML code into microservices with web API, interactive GUI, and more.
Open-source GenAI and LLM observability platform native to OpenTelemetry with traces and metrics. opensource.
Simplifies and accelerates MLOps by bridging the gap between ML models and edge hardware.
Neural networks framework in pure C: training and inference, no dependencies.
A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
Private AI for individuals, teams, and organizations. Workspaces, agents, models, and knowledge—one connected system on your terms.
Machine learning model serving framework with dynamic batching and pipelined stages, provides an easy-to-use Python interface.
Version and deploy your ML models following GitOps principles.
Ship AI agents that reason, remember, and act in TypeScript. Mastra provides memory, tools, MCP, and observability to go from prototype to production.
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
KubeStellar Console supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Kubeflow makes deployment of ML Workflows on Kubernetes straightforward and automated.
Standardized Serverless ML Inference Platform on Kubernetes.
Open source MLOps project that eases model handoffs between data scientist and DevOps.
Kubernetes custom resource definition for serving ML models on arbitrary frameworks.
Respan unifies LLM observability, evals, prompt optimization, and an AI gateway so teams can ship reliable AI applications.
Kubernetes-based system for hyperparameter tuning and neural architecture search.
Build multimodal AI services via cloud native technologies · Model Serving · Generative AI · Neural Search · Cloud Native.
A library for efficient similarity search and clustering of dense vectors.
Eurybia monitors data and model drift over time and securizes model deployment with data validation.
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.