Explore and compare the latest AI tools and technologies
Framework for LLM-powered applications
LangChain is a framework for developing applications powered by language models. It enables applications that are context-aware, reason about their actions, and integrate with other tools.
Leading LLM API provider
OpenAI's API provides access to powerful language models like GPT-4o and GPT-3.5, enabling natural language processing, text generation, and various AI capabilities.
Google's powerful family of multimodal LLMs
Google Gemini is a family of multimodal AI models from Google, designed for various applications from natural language understanding to code generation and image analysis.
LLM focused on safety and enterprise use
Anthropic's Claude is a family of LLMs focused on being helpful, harmless, and honest, with a strong emphasis on enterprise safety and responsible AI.
Open-source LLM family from Meta
Llama is a family of open LLMs from Meta, designed to be accessible for research and commercial use, offering powerful language understanding and generation capabilities.
Data framework for RAG with LLMs
LlamaIndex is a data framework for LLM applications, primarily focused on making it easy to connect LLMs with external data sources for retrieval-augmented generation (RAG).
Library for state-of-the-art NLP models
Hugging Face Transformers is a widely used Python library that provides thousands of pre-trained models for various NLP tasks, including LLMs, and tools for fine-tuning and deployment.
MLOps platform for ML lifecycle management
MLflow is an open-source platform for managing the end-to-end machine learning lifecycle, including experiment tracking, reproducibility, and model deployment.
MLOps platform for experiment tracking and visualization
Weights & Biases (W&B) is a MLOps platform for experiment tracking, model visualization, and collaboration, supporting various machine learning workflows, including LLMs.
High-throughput LLM inference and serving
vLLM is an open-source library for fast and efficient LLM inference and serving, known for its high throughput and memory efficiency through techniques like PagedAttention.
Multi-agent framework for AI applications
AutoGen is a framework by Microsoft Research that simplifies creating applications based on multiple AI agents, enabling them to communicate and collaborate to achieve complex goals.
Collaborative AI agent framework
CrewAI is an advanced framework that enables multiple AI agents to collaborate on tasks efficiently, focusing on decentralizing AI agent decision-making and leveraging large language models.
Managed vector database for AI applications
Pinecone is a managed vector database designed for high-performance similarity search, essential for Retrieval-Augmented Generation (RAG) and other AI applications requiring efficient vector embeddings storage and retrieval.
Open-source vector database for similarity search
Qdrant is an open-source vector similarity search engine and vector database, providing a production-ready service with a simple API for storing, searching, and managing vector embeddings.