bootstrap-rag

This project will bootstrap and scaffold the projects for specific semantic search and RAG applications along with regular boilerplate code.

Architecture

Installing prerequisite

Option-1

install ollama following this guide
install qdrant follwing this guide

Option-2

In the root folder run docker compose -f docker-compose-dev.yml up
One the containers are up and running run docker exec -it ollama_service sh
In the container shell run ollama run llama3.1

how to run the project ?

Method-1

run pip install inquirerpy bootstrap-rag
run bootstraprag create <PROJECT_NAME>
Navigate to newly created project <PROJECT_NAME> the run pip install -r requirements.txt
modify the .env file accordingly
run python main.py for cli experience [or] run python api_server.py

Method-2

git clone git@github.com:pavanjava/bootstrap-rag.git
pip install -e .
run bootstraprag create <PROJECT_NAME>
Navigate to newly created project <PROJECT_NAME> the run pip install -r requirements.txt
modify the .env file accordingly
run python main.py for cli experience [or] run python api_server.py

Note: llamaindex, langchain, Qdrant Search and RAG evaluations are functional for now, others frameworks [langgraph, haystack] in progress.

pavanjava/bootstrap-rag