AI Frameworks

Multi-agent conversation framework enabling complex LLM workflows through agent-to-agent communication.

Lightweight open-source embedding database designed for simplicity and developer experience.

Multi-agent orchestration framework enabling collaborative AI agents with defined roles and workflows.

Deep learning optimization library enabling efficient large-scale model training with ZeRO and offloading.

Git-based data version control and ML pipeline management tool for reproducible experiments.

Rapid ML demo and interface builder that creates shareable web UIs for any Python function.

The standard library for accessing and fine-tuning pre-trained transformer models across NLP, vision, and audio.

High-performance numerical computing framework with automatic differentiation and XLA compilation.

The leading framework for building applications powered by large language models with chains and agents.

Data framework for connecting custom data sources to large language models through indexing and retrieval.

NVIDIA framework for efficient training of multi-billion parameter transformer models with 3D parallelism.

Open-source platform for managing the complete machine learning lifecycle including experiments and deployment.

Simple local LLM runner that makes it easy to download and run open models on personal hardware.

Fully managed vector database optimized for similarity search at scale with minimal operational overhead.

The dominant deep learning framework offering dynamic computation graphs and Pythonic development experience.

High-performance vector search engine built in Rust with advanced filtering and payload management.

Evaluation framework for assessing RAG pipeline quality with automated metrics.

Distributed computing framework for scaling ML workloads from laptop to cluster seamlessly.

Python framework for building data applications and ML demos with a reactive script-based approach.

Google production-grade machine learning framework with comprehensive deployment ecosystem.

Production-ready inference server optimized for text generation with Hugging Face ecosystem integration.

Enterprise-grade model serving platform supporting multiple frameworks and hardware backends.

High-throughput LLM inference engine using PagedAttention for efficient memory management.

Open-source vector database with built-in vectorization modules and GraphQL API.

ML experiment tracking and visualization platform with collaborative features for teams.