mirror of
https://github.com/hwchase17/langchain
synced 2024-11-06 03:20:49 +00:00
79 lines
2.7 KiB
Markdown
79 lines
2.7 KiB
Markdown
|
|
# cassandra-entomology-rag
|
|
|
|
This template will perform RAG using Apache Cassandra® or Astra DB through CQL (`Cassandra` vector store class)
|
|
|
|
## Environment Setup
|
|
|
|
For the setup, you will require:
|
|
- an [Astra](https://astra.datastax.com) Vector Database. You must have a [Database Administrator token](https://awesome-astra.github.io/docs/pages/astra/create-token/#c-procedure), specifically the string starting with `AstraCS:...`.
|
|
- [Database ID](https://awesome-astra.github.io/docs/pages/astra/faq/#where-should-i-find-a-database-identifier).
|
|
- an **OpenAI API Key**. (More info [here](https://cassio.org/start_here/#llm-access))
|
|
|
|
You may also use a regular Cassandra cluster. In this case, provide the `USE_CASSANDRA_CLUSTER` entry as shown in `.env.template` and the subsequent environment variables to specify how to connect to it.
|
|
|
|
The connection parameters and secrets must be provided through environment variables. Refer to `.env.template` for the required variables.
|
|
|
|
## 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 cassandra-entomology-rag
|
|
```
|
|
|
|
If you want to add this to an existing project, you can just run:
|
|
|
|
```shell
|
|
langchain app add cassandra-entomology-rag
|
|
```
|
|
|
|
And add the following code to your `server.py` file:
|
|
```python
|
|
from cassandra_entomology_rag import chain as cassandra_entomology_rag_chain
|
|
|
|
add_routes(app, cassandra_entomology_rag_chain, path="/cassandra-entomology-rag")
|
|
```
|
|
|
|
(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/cassandra-entomology-rag/playground](http://127.0.0.1:8000/cassandra-entomology-rag/playground)
|
|
|
|
We can access the template from code with:
|
|
|
|
```python
|
|
from langserve.client import RemoteRunnable
|
|
|
|
runnable = RemoteRunnable("http://localhost:8000/cassandra-entomology-rag")
|
|
```
|
|
|
|
## Reference
|
|
|
|
Stand-alone repo with LangServe chain: [here](https://github.com/hemidactylus/langserve_cassandra_entomology_rag).
|