vectordb-recipes vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| vectordb-recipes | ollama | |
|---|---|---|
| Tagline | Resource, examples & tutorials for multimodal AI, RAG and agents using vector search and LLMs | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 966 | 176k |
| Forks | 172 | 17k |
| Open issues | 4 | 3.4k |
| Language | Jupyter Notebook | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Apr 24, 2026 | Jul 7, 2026 |
| Categories | AI Agents, Evaluation & Observability, Vector Databases, Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks |
vectordb-recipes
A repository with Jupyter Notebook examples, applications, starter code, and tutorials for building GenAI projects.
Jupyter Notebook
ollama
Ollama is a platform for deploying and interacting with various large language models (LLMs) such as Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma on macOS, Windows, Linux, and Docker environments.
Go