I am working on Python projects involving NLP, Retrieval-Augmented Generation (RAG), and OpenCV, and I want to improve how I approach implementation and troubleshooting.

I would like to understand the best practices for solving and asking questions about these types of problems.

Specifically, I would like advice on:

1. What information should I include when asking a technical question so that others can understand and reproduce the problem?

2. How should I structure Python code snippets and error messages in a question?

3. What common mistakes should I avoid when implementing NLP, RAG, or OpenCV solutions?

4. How should I troubleshoot errors before posting a question?

5. Which Python libraries or tools are commonly recommended for tasks such as text processing, embeddings, vector search, and image processing?

Some areas I am currently working with include:

- Text preprocessing and tokenization

- Text chunking and chunk overlap

- Embeddings and semantic similarity

- FAISS and other vector stores

- RAG pipelines

- LLM integration

- Image processing with OpenCV

For example, if I encounter an error while implementing a RAG pipeline, I would like to know what details about my Python version, library versions, code, input, and error message would be most useful to include.

Any practical guidelines or examples of well-structured questions would be appreciated.