How to work Ragstack colbert in Windows. What is the correct version for Python?

[RohithDAces]

I had done the colbert retriever by using Google colab. Now I want to use this in my local. How can I implement this in my windows application or WSL. What is the correct version of python for this? I am using 3.9.0, I get a conflict when I am installing ragstack-ai-colbert.
@nicoloboschi Can you please suggest about this!

[cbornet]

Python 3.9 should be OK.
We have working tests of ragstack-ai-colbert on Python 3.9 (on Linux).
Can you give more info on the conflict you see ?

[rehan243]

Great question! We run a production RAG pipeline over 2TB+ of enterprise documents.
A few patterns that helped us:

• Hybrid retrieval: Combining dense vector search with sparse BM25 retrieval
  consistently outperforms either alone by 15-20% on our recall benchmarks
• Chunk overlap: Using 20% overlap between chunks reduces "lost context" at boundaries
• Reranking: Adding a cross-encoder reranker after initial retrieval dramatically
  improves precision without increasing latency much (we use a small model, ~50ms overhead)

For evaluation, we gate deployments on RAGAS faithfulness > 0.85. Happy to share
more details on the architecture!