@ -23,20 +23,20 @@ pip install -U langchain-cli
To create a new LangChain project and install this as the only package, you can do:
```shell
langchain app new my-app --package rag-vectara
langchain app new my-app --package rag-vectara-multiquery
```
If you want to add this to an existing project, you can just run:
```shell
langchain app add rag-vectara
langchain app add rag-vectara-multiquery
```
And add the following code to your `server.py` file:
```python
from rag_vectara import chain as rag_vectara_chain
add_routes(app, rag_vectara_chain, path="/rag-vectara")
add_routes(app, rag_vectara_chain, path="/rag-vectara-multiquery ")
```
(Optional) Let's now configure LangSmith.
@ -61,12 +61,12 @@ This will start the FastAPI app with a server is running locally at
[http://localhost:8000 ](http://localhost:8000 )
We can see all templates at [http://127.0.0.1:8000/docs ](http://127.0.0.1:8000/docs )
We can access the playground at [http://127.0.0.1:8000/rag-vectara /playground](http://127.0.0.1:8000/rag-vectara /playground)
We can access the playground at [http://127.0.0.1:8000/rag-vectara -multiquery /playground](http://127.0.0.1:8000/rag-vectara -multiquery /playground)
We can access the template from code with:
```python
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/rag-vectara")
runnable = RemoteRunnable("http://localhost:8000/rag-vectara-multiquery ")
```