Resources
A curated collection of resources to deepen your understanding of AI agents.
Official Documentation
Research Papers
Foundational Papers
| Paper | Year | Key Contribution |
|---|---|---|
| ReAct: Synergizing Reasoning and Acting (opens in a new tab) | 2022 | Thought-Action-Observation loop |
| Chain-of-Thought Prompting (opens in a new tab) | 2022 | Step-by-step reasoning |
| Tree of Thoughts (opens in a new tab) | 2023 | Deliberate problem solving |
| Toolformer (opens in a new tab) | 2023 | Self-taught tool use |
Multi-Agent Systems
| Paper | Year | Key Contribution |
|---|---|---|
| AutoGen (opens in a new tab) | 2023 | Conversational multi-agent framework |
| MetaGPT (opens in a new tab) | 2023 | Software development agents |
| AgentVerse (opens in a new tab) | 2023 | Agent collaboration simulation |
Tools & APIs
Search & Retrieval
- Tavily (opens in a new tab) - AI-optimized search API
- Serper (opens in a new tab) - Google Search API
- Exa (opens in a new tab) - Neural search engine
Vector Databases
- Chroma (opens in a new tab) - Open-source embeddings database
- Pinecone (opens in a new tab) - Managed vector database
- Weaviate (opens in a new tab) - AI-native vector search
Observability
- LangSmith (opens in a new tab) - LLM debugging and monitoring
- Weights & Biases (opens in a new tab) - ML experiment tracking
- Arize (opens in a new tab) - ML observability platform
Community
Join the community to learn, share, and grow together!
- LangChain Discord (opens in a new tab)
- OpenAI Community Forum (opens in a new tab)
- r/LocalLLaMA (opens in a new tab)
- Hugging Face Forums (opens in a new tab)
Books
- Building LLM Apps - Covers production patterns for LLM applications
- Designing Machine Learning Systems - ML system design principles
- Designing Data-Intensive Applications - Foundational system design
Video Courses
- DeepLearning.AI Short Courses (opens in a new tab) - Free AI courses
- LangChain Academy (opens in a new tab) - Official LangChain training
- Fast.ai (opens in a new tab) - Practical deep learning
This Cookbook's Repository
💡
All code examples are available in our GitHub repository.
git clone https://github.com/SOTAAZlab/LLM-Agent-Cookbook.git
cd LLM-Agent-Cookbook