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Build autonomous AI agent teams with CrewAI - a lightweight Python framework for orchestrating role-playing AI agents that collaborate to solve complex tasks through flexible workflows and event-driven automation.

Build multi-agent AI applications using AutoGen's AgentChat high-level API with preset behaviors and team patterns for collaborative agent workflows.

Build stateful, multi-actor AI applications with LangGraph. Create workflows with durable execution, human-in-the-loop patterns, and comprehensive memory management.

Build retrieval-augmented generation (RAG) applications using LlamaIndex core abstractions for LLMs, vector stores, embeddings, and data indexing.

Analyze and integrate the LangChain Python package for building LLM-powered applications and agents

Build LLM applications with data connectors, indexing, and retrieval using LlamaIndex (formerly GPT Index). Connect your LLMs to private data sources via vector stores, structured indices, and advanced query engines.

Install langchain-community package with third-party integrations for LangChain applications

Python client for Together AI's cloud platform - chat completions, image generation, embeddings, reranking, fine-tuning, and more

Official Python library for Groq's REST API with sync/async support, type definitions, and automatic retries for fast LLM inference.

Integrate Fireworks AI platform for building, experimenting, and deploying open-source AI models using their Python client library. Access fast, efficient model deployment capabilities.

Expert guidance for building production-ready APIs with FastAPI framework - from setup to deployment

Use the Mistral AI Python SDK to build chat completions, embeddings, file uploads, agents, batch jobs, and fine-tuning workflows with Mistral AI models.

Fast DataFrame operations with Polars library for data manipulation, transformation, and analysis using lazy/eager execution

Guide for using NumPy, the fundamental package for scientific computing and array operations in Python. Learn to perform efficient numerical computations, linear algebra, and data manipulation.

Expert guide for pandas data manipulation, analysis, and visualization tasks

Install and configure LightGBM gradient boosting framework with GPU/CPU support

Install and use XGBoost Python package for gradient boosting machine learning models. Train, evaluate, and deploy high-performance ML models for classification and regression tasks.

Guide for using TensorFlow, an open-source machine learning framework for numerical computation, model training, and deployment across multiple platforms.

Expert guidance for building scalable Angular applications with TypeScript, signals, and modern best practices

Build modern Svelte 5 components with Flowbite-Svelte UI library using comprehensive documentation access and automated code validation