1. install the langchain cli

pip install -U langchain-cli types

2. create a new langchain project

langchain app new my-rag

3. cd in my-rag

cd my-rag

4. add the astra db rag template

langchain app add cassandra-entomology-rag

5. make a copy of .env.template to .env and edit the Astra DB credentials

cp ./packages/cassandra-entomology-rag/cassandra_entomology_rag/.env.template ./packages/cassandra-entomology-rag/cassandra_entomology_rag/.env

6. add these lines to your server.py

from cassandra_entomology_rag import chain as cassandra_entomology_rag_chain
add_routes(app, cassandra_entomology_rag_chain, path="/cassandra-entomology-rag")

7. start langserve on your local machine from the my-rag folder

langchain serve

8. use browser url to access the playground https://localhost:8000/cassandra-entomology-rag/playground

That's it!

1. clone this repo

git clone https://github.com/difli/my-rag.git

2. install the langchain cli

pip install -U langchain-cli types

3. make a copy of .env.template to .env and edit the Astra DB credentials

cp ./packages/cassandra-entomology-rag/cassandra_entomology_rag/.env.template ./packages/cassandra-entomology-rag/cassandra_entomology_rag/.env

4. start langserve on your local machine

langchain serve

5. use browser url to access the playground https://localhost:8000/playground/ This template will perform RAG using Apache Cassandra® or Astra DB through CQL (Cassandra vector store class)