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new 2eb743b docs(llm): fix grammar errors (#275)
2eb743b is described below
commit 2eb743b1266bd33b97a88d6348fc25766b435e07
Author: chenzihong <[email protected]>
AuthorDate: Mon Jun 16 14:28:44 2025 +0800
docs(llm): fix grammar errors (#275)
---
hugegraph-llm/README.md | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/hugegraph-llm/README.md b/hugegraph-llm/README.md
index 21b7172..96cacec 100644
--- a/hugegraph-llm/README.md
+++ b/hugegraph-llm/README.md
@@ -55,14 +55,14 @@ graph systems and large language models.
### 3.2 Build from Source
-1. Start the HugeGraph database, you can run it via
[Docker](https://hub.docker.com/r/hugegraph/hugegraph)/[Binary
Package](https://hugegraph.apache.org/docs/download/download/).
+1. Start the HugeGraph database, you can run it via
[Docker](https://hub.docker.com/r/hugegraph/hugegraph)/[Binary
Package](https://hugegraph.apache.org/docs/download/download/)
There is a simple method by docker:
```bash
docker run -itd --name=server -p 8080:8080 hugegraph/hugegraph
```
You can refer to the detailed documents
[doc](/docs/quickstart/hugegraph/hugegraph-server/#31-use-docker-container-convenient-for-testdev)
for more guidance.
-2. Configuring the uv environment, Use the official installer to install uv,
See the [uv documentation](https://docs.astral.sh/uv/configuration/installer/)
for other installation methods
+2. Configure the uv environment by using the official installer to install uv.
See the [uv documentation](https://docs.astral.sh/uv/configuration/installer/)
for other installation methods
```bash
# You could try pipx or pip to install uv when meet network issues, refer
the uv doc for more details
curl -LsSf https://astral.sh/uv/install.sh | sh - # install the latest
version like 0.7.3+
@@ -72,7 +72,7 @@ graph systems and large language models.
```bash
git clone https://github.com/apache/incubator-hugegraph-ai.git
```
-4. Configuration dependency environment
+4. Configure dependency environment
```bash
cd incubator-hugegraph-ai/hugegraph-llm
uv venv && source .venv/bin/activate
@@ -89,7 +89,7 @@ graph systems and large language models.
python -m hugegraph_llm.demo.rag_demo.app --host 127.0.0.1 --port 18001
```
-6. After running the web demo, the config file `.env` will be automatically
generated at the path `hugegraph-llm/.env`. Additionally, a prompt-related
configuration file `config_prompt.yaml` will also be generated at the path
`hugegraph-llm/src/hugegraph_llm/resources/demo/config_prompt.yaml`.
+6. After running the web demo, the config file `.env` will be automatically
generated at the path `hugegraph-llm/.env`. Additionally, a prompt-related
configuration file `config_prompt.yaml` will also be generated at the path
`hugegraph-llm/src/hugegraph_llm/resources/demo/config_prompt.yaml`.
You can modify the content on the web page, and it will be automatically
saved to the configuration file after the corresponding feature is triggered.
You can also modify the file directly without restarting the web application;
refresh the page to load your latest changes.
(Optional)To regenerate the config file, you can use `config.generate`
with `-u` or `--update`.
```bash
