awesome-llm-apps vs recipes
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| awesome-llm-apps | recipes | |
|---|---|---|
| Tagline | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | End-to-end notebooks for using Weaviate features and integrations |
| Stars | 117k | 939 |
| Forks | 17k | 194 |
| Open issues | 6 | 5 |
| Language | Python | Jupyter Notebook |
| License | Apache-2.0 | - |
| Last pushed | Jun 15, 2026 | Jun 12, 2026 |
| Categories | AI Agents, LLM Frameworks | Vector Databases, Evaluation & Observability, Data & Retrieval, LLM Frameworks |
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python
recipes
The repository offers comprehensive, ready-to-use datasets and Jupyter Notebook examples to demonstrate various functionalities of Weaviate including vector search, hybrid, and generative AI. It also provides integration materials with external technologies such as LLM frameworks and data platforms.
Jupyter Notebook