From 6736bc09f32222ddc3a4e9ebd23eb516d34859f6 Mon Sep 17 00:00:00 2001 From: aries_ckt <916701291@qq.com> Date: Fri, 11 Jul 2025 22:05:13 +0800 Subject: [PATCH] chore:doc ob rag use --- .../installation/integrations/oceanbase_rag_install.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/docs/installation/integrations/oceanbase_rag_install.md b/docs/docs/installation/integrations/oceanbase_rag_install.md index a3bc6c5d9..05f2273fe 100644 --- a/docs/docs/installation/integrations/oceanbase_rag_install.md +++ b/docs/docs/installation/integrations/oceanbase_rag_install.md @@ -1,12 +1,12 @@ # OceanBase Vector RAG -In this example, we will show how to use the Oceanbase Vector as in DB-GPT RAG Storage. Using a graph database to implement RAG can, to some extent, alleviate the uncertainty and interpretability issues brought about by vector database retrieval. +In this example, we will show how to use the OceanBase Vector as in DB-GPT RAG Storage. Using a graph database to implement RAG can, to some extent, alleviate the uncertainty and interpretability issues brought about by vector database retrieval. ### Install Dependencies -First, you need to install the `dbgpt Oceanbase Vector storage` library. +First, you need to install the `dbgpt OceanBase Vector storage` library. ```bash uv sync --all-packages \ @@ -19,17 +19,17 @@ uv sync --all-packages \ ### Prepare OceanBase Vector -Prepare Oceanbase Vector database service, reference[Oceanbase Vector](https://open.oceanbase.com/) . +Prepare OceanBase Vector database service, reference[OceanBase Vector](https://open.oceanbase.com/) . ### OceanBase Configuration -Set rag storage variables below in `configs/dbgpt-proxy-openai.toml` file, let DB-GPT know how to connect to Oceanbase Vector. +Set rag storage variables below in `configs/dbgpt-proxy-openai.toml` file, let DB-GPT know how to connect to OceanBase Vector. ``` [rag.storage] [rag.storage.vector] -type = "Oceanbase" +type = "oceanbase" uri = "127.0.0.1" port = "19530" #username="dbgpt"