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Merge branch 'patch-4'

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yangdx
2025-12-30 13:26:50 +08:00
parent abfae15421 705e700200
commit d1c0a42feb
2 changed files with 3 additions and 2 deletions
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3
README-zh.md
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@@ -749,6 +749,7 @@ async def embedding_func(texts: list[str]) -> np.ndarray:
rag = LightRAG(
working_dir=WORKING_DIR,
llm_model_func=llm_model_func,
llm_model_name="gemini-2.0-flash",
embedding_func=embedding_func
)
```
@@ -972,7 +973,7 @@ async def initialize_rag():
* PostgreSQL 很轻量，包含所有必要插件的完整二进制发行版可以压缩到 40MB：参考 [Windows Release](https://github.com/ShanGor/apache-age-windows/releases/tag/PG17%2Fv1.5.0-rc0)，Linux/Mac 也很容易安装。
* 如果您喜欢 docker，建议初学者使用此镜像以避免出现问题（默认用户密码：rag/rag）：https://hub.docker.com/r/gzdaniel/postgres-for-rag
* 如何开始？参考：[examples/lightrag_zhipu_postgres_demo.py](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_zhipu_postgres_demo.py)
* 如何开始？参考：[examples/lightrag_gemini_postgres_demo.py](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_gemini_postgres_demo.py)
* 对于高性能图数据库需求，推荐使用 Neo4j，因为 Apache AGE 的性能不够理想。
</details>

2
README.md
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@@ -973,7 +973,7 @@ For production level scenarios you will most likely want to leverage an enterpri
* PostgreSQL is lightweight,the whole binary distribution including all necessary plugins can be zipped to 40MB: Ref to [Windows Release](https://github.com/ShanGor/apache-age-windows/releases/tag/PG17%2Fv1.5.0-rc0) as it is easy to install for Linux/Mac.
* If you prefer docker, please start with this image if you are a beginner to avoid hiccups (Default user password:rag/rag): https://hub.docker.com/r/gzdaniel/postgres-for-rag
* How to start? Ref to: [examples/lightrag_zhipu_postgres_demo.py](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_zhipu_postgres_demo.py)
* How to start? Ref to: [examples/lightrag_gemini_postgres_demo.py](https://github.com/HKUDS/LightRAG/blob/main/examples/lightrag_gemini_postgres_demo.py)
* For high-performance graph database requirements, Neo4j is recommended as Apache AGE's performance is not as competitive.
</details>