mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
67 lines
2.0 KiB
Markdown
67 lines
2.0 KiB
Markdown
|
|
# rewrite_retrieve_read
|
|
|
|
This template implemenets a method for query transformation (re-writing) in the paper [Query Rewriting for Retrieval-Augmented Large Language Models](https://arxiv.org/pdf/2305.14283.pdf) to optimize for RAG.
|
|
|
|
## Environment Setup
|
|
|
|
Set the `OPENAI_API_KEY` environment variable to access the OpenAI models.
|
|
|
|
## Usage
|
|
|
|
To use this package, you should first have the LangChain CLI installed:
|
|
|
|
```shell
|
|
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 rewrite_retrieve_read
|
|
```
|
|
|
|
If you want to add this to an existing project, you can just run:
|
|
|
|
```shell
|
|
langchain app add rewrite_retrieve_read
|
|
```
|
|
|
|
And add the following code to your `server.py` file:
|
|
```python
|
|
from rewrite_retrieve_read.chain import chain as rewrite_retrieve_read_chain
|
|
|
|
add_routes(app, rewrite_retrieve_read_chain, path="/rewrite-retrieve-read")
|
|
```
|
|
|
|
(Optional) Let's now configure LangSmith.
|
|
LangSmith will help us trace, monitor and debug LangChain applications.
|
|
LangSmith is currently in private beta, you can sign up [here](https://smith.langchain.com/).
|
|
If you don't have access, you can skip this section
|
|
|
|
```shell
|
|
export LANGCHAIN_TRACING_V2=true
|
|
export LANGCHAIN_API_KEY=<your-api-key>
|
|
export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
|
|
```
|
|
|
|
If you are inside this directory, then you can spin up a LangServe instance directly by:
|
|
|
|
```shell
|
|
langchain serve
|
|
```
|
|
|
|
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/rewrite_retrieve_read/playground](http://127.0.0.1:8000/rewrite_retrieve_read/playground)
|
|
|
|
We can access the template from code with:
|
|
|
|
```python
|
|
from langserve.client import RemoteRunnable
|
|
|
|
runnable = RemoteRunnable("http://localhost:8000/rewrite_retrieve_read")
|
|
```
|