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

• install ollama following this guide
• install qdrant follwing this guide

• 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

• 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

• 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.