[Feature]: Add custom token corpus for other languages for bm25
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Description
What feature would you like to request?
Hi, I’m exploring how to enable Qdrant/bm25 to properly tokenize and vectorize the Thai language.
I noticed that the model cache directory contains multiple language-specific text files:
(see image below)
I’d like to add a custom Thai corpus based on this word list:
https://github.com/PyThaiNLP/pythainlp/blob/dev/pythainlp/corpus/words_th.txt
However, simply adding a thai.txt file to the model cache directory does not work dynamically (on the fly). Could you clarify the correct way to extend or register a new language corpus for BM25, or whether additional configuration or rebuilding steps are required?
Is there any additional information you would like to provide?
No response
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by inspecting BM25's language-corpus registration and model-cache loading, then compare the existing language-specific text files with PyThaiNLP's words_th.txt corpus. Determine whether adding Thai requires configuration, a rebuild, or a code change, and define how successful Thai tokenization and vectorization should be verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- search
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100