What is production-agentic-rag-course built with?

production-agentic-rag-course is a Python repo built with FastAPI and uvicorn. It stores its data in Postgres, reaches it with alembic and SQLAlchemy, uses AI through langchain-ollama, sentence-transformers, LangChain, LangGraph, and langfuse, makes its content with docling, validates its data with Pydantic, and uses psycopg2-binary and Redis. It has 10,607 written lines, with 24 test files.

Read on November 14, 2026, at commit 424a0eb. Read it as markdown

The card says what it's built with. Its whole map opens it up: every part of the code and how it connects to the rest.

Frontend

Interface 1

Backend

Support

The base 1

Content 1

  • docling1 file

Validation 1

Other 5

  • pydantic-settings2 files
  • python-dateutil1 file
  • python-telegram-bot
  • httpx4 files
  • requests1 file

Other repos with a similar stack

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Frequently asked questions

What language is production-agentic-rag-course written in?
production-agentic-rag-course is written in Python, with 10,607 written lines.
What framework does production-agentic-rag-course use?
production-agentic-rag-course is built with FastAPI and uvicorn.
What database does production-agentic-rag-course use?
production-agentic-rag-course stores its data in Postgres and reaches it with alembic and SQLAlchemy.

The proof: airflow/dags/hello_world_dag.py, line 1

Does production-agentic-rag-course use AI?
Yes. production-agentic-rag-course uses AI through langchain-ollama, sentence-transformers, LangChain, LangGraph, and langfuse.
What services does production-agentic-rag-course use?
production-agentic-rag-course uses psycopg2-binary and Redis.
Does production-agentic-rag-course have tests?
Yes. production-agentic-rag-course has 24 test files.
Which repos have a stack like production-agentic-rag-course's?

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