microsoft / microsoft/markitdown
Suggestion: use Semantic Kernel to interface with a host of different V/MLM's including local ones through Ollama and ONNX
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- Dominant language
- Python
- Stars
- 186k
- Forks
- 13.7k
- Avg merge
- 1d 4h
- Merged PRs (30d)
- 49
Description
Would you guys be open to leveraging Semantic Kernel to do that work against LLM's? Includes dealing with different models and providers but getting consistent return types. And potentially would also make it easier to work with vector stores through SK as well.
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
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Research direction
No files, tests, or entry points are named in the issue. First review MarkItDown's existing model and provider integrations, then assess how Semantic Kernel could unify local Ollama and ONNX models, return types, and vector-store access; done means an agreed, scoped implementation plan.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- ollama, python
- Domain
- ai
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100