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# rag-codellama-fireworks | |
This template performs RAG on a codebase. | |
It uses codellama-34b hosted by Fireworks' [LLM inference API](https://blog.fireworks.ai/accelerating-code-completion-with-fireworks-fast-llm-inference-f4e8b5ec534a). | |
## Environment Setup | |
Set the `FIREWORKS_API_KEY` environment variable to access the Fireworks models. | |
You can obtain it from [here](https://app.fireworks.ai/login?callbackURL=https://app.fireworks.ai). | |
## 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 rag-codellama-fireworks | |
``` | |
If you want to add this to an existing project, you can just run: | |
```shell | |
langchain app add rag-codellama-fireworks | |
``` | |
And add the following code to your `server.py` file: | |
```python | |
from rag_codellama_fireworks import chain as rag_codellama_fireworks_chain | |
add_routes(app, rag_codellama_fireworks_chain, path="/rag-codellama-fireworks") | |
``` | |
(Optional) Let's now configure LangSmith. | |
LangSmith will help us trace, monitor and debug LangChain applications. | |
You can sign up for LangSmith [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/rag-codellama-fireworks/playground](http://127.0.0.1:8000/rag-codellama-fireworks/playground) | |
We can access the template from code with: | |
```python | |
from langserve.client import RemoteRunnable | |
runnable = RemoteRunnable("http://localhost:8000/rag-codellama-fireworks") | |
``` | |