langchain4j vs ollama
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| langchain4j | ollama | |
|---|---|---|
| Tagline | LangChain4j: Java-friendly Library for LLM Integration | Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. |
| Stars | 13k | 176k |
| Forks | 2.4k | 17k |
| Open issues | 785 | 3.4k |
| Language | Java | Go |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | LLM Frameworks, Developer Tools, Data & Retrieval | AI Agents, LLM Frameworks |
langchain4j
An idiomatic, open-source Java library that facilitates building applications powered by large language models (LLMs) and vector databases. It offers a unified API across multiple LLM providers and vector stores, making it easy to switch between different technologies without code rewriting.
Java
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