Explore AI Resources

Framework for building LLM-powered applications using composable primitives.

Run LLaMA-class models efficiently on consumer hardware.

Simple local LLM runtime with a clean developer experience.

High-throughput, memory-efficient LLM serving engine.

Unified API interface for 100+ LLM providers.

Programming framework for self-improving LLM pipelines.

The TypeScript toolkit for building AI-powered apps and agents.

Data framework for connecting LLMs to your data via indexing and retrieval.

High-performance serving framework for LLMs and multimodal models.

State-of-the-art pretrained models for NLP, vision, and audio.

Dense vector representations for sentences and paragraphs.

Industrial-strength NLP library for Python.

Structured text generation with regex and JSON schema constraints.

Real-time object detection, segmentation, and pose estimation.

Meta's foundation model for zero-shot image segmentation.

The world's largest computer vision library.

600+ pretrained vision models for PyTorch.

High-performance vector database for similarity search and RAG.

Open-source vector database with built-in ML model integration.

The AI-native open-source embedding database.

Cloud-native vector database built for billion-scale similarity search.

Open platform for managing the full ML lifecycle.

Experiment tracking, model observability, and LLM monitoring.

Data version control for ML projects.

Distributed computing framework for AI and Python workloads.

Streamlined fine-tuning of LLMs with PEFT and full-param support.

Fast, memory-efficient fine-tuning for LLMs on consumer GPUs.

Parameter-efficient fine-tuning methods by Hugging Face.

Transformer Reinforcement Learning for RLHF and alignment.

Deep learning optimization library for large-scale training.

Build stateful, graph-based LLM agent workflows.

Open standard for connecting AI models to tools, data, and services.

Framework for orchestrating role-playing AI agents.

Lightweight Python framework for building multi-agent workflows.

Type-safe Python agent framework from the makers of Pydantic.

TypeScript-first agent framework built on the Vercel AI SDK.

Modular Python framework for building Google-native AI agents.

Minimal code-first agent library by Hugging Face.

Open-source low-code platform for building AI agent applications.

AI pair programmer that edits code directly in your local git repo.

Open-source platform for autonomous software engineering agents.

Anthropic's SDK for building custom agents on the same harness as Claude Code.

The standard data manipulation library for Python.

Blazing fast DataFrame library written in Rust.

SQL-based transformation tool for analytics engineering.

Evaluation framework for RAG pipelines.

Unified framework for evaluating language models on 200+ benchmarks.

Test and evaluate LLM outputs with CI/CD integration.

The open-source LLM evaluation framework with 50+ research-backed metrics.

Open-source LLM engineering platform for tracing, evals, and prompt management.

OpenTelemetry-native LLM observability and evaluation platform.