Generative AI & Large Language Models (LLMs)
A curated list of tools and frameworks for the modern AI Engineer (2024-2026).
Core Models & Platforms
- Hugging Face - The home of open-source models (Llama 3, Mistral, Gemma).
- OpenAI Platform - Documentation for GPT-4o and API usage.
- Anthropic - Clause 3.5 Sonnet and Opus models.
- Ollama - Run Llama 3, Phi 3, and other models locally on your machine.
Frameworks (Orchestration & RAG)
- LangChain - Framework for developing applications powered by LLMs.
- LlamaIndex - Data framework for connecting custom data sources to LLMs.
- Haystack - End-to-end framework for building RAG pipelines.
- DSPy - Programming—not prompting—framework for LMs.
Vector Databases
- Chroma - Open-source embedding database.
- Pinecone - Managed vector database for scaling AI applications.
- Weaviate - Cloud-native vector search engine.
Tools & Utilities
- LM Studio - Discover, download, and run local LLMs.
- Cursor - The AI Code Editor built for pair-programming.
Practical Guides & Debugging
- WFGY ProblemMap - Diagnosing and fixing RAG/LLM pipeline failures.