IvanMurzak / IvanMurzak/Unity-MCP
RAG: Tools for documentation reading
Open
Nobody has claimed this yet.
enhancement
R&D
super-feature
- Dominant language
- C#
- Stars
- 4.3k
- Forks
- 379
- Avg merge
- 6h 52m
- Merged PRs (30d)
- 17
Description
-
DuckDBintegration, with documentation repository process and data models -
AllMiniLM L6embedding model setup (https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) - Documentation parsing, chunking, DB ingest
- Semantic query tool
Contributor guide
No contributing guide indexed for this repository
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 reviewing the issue's four checklist items: DuckDB integration, the AllMiniLM L6 embedding model, documentation parsing and chunking, and the semantic query tool. The linked model page is the only external reference; define the documentation repository process and data models before implementation. Done means all four listed capabilities are implemented and usable together.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- csharp, huggingface, unity
- Domain
- ai, databases, documentation, machine-learning, tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100