Commit a7eb6f4
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feat: Add source harvester for various data sources
- Introduced a new configuration file `config.example.yaml` for source harvester settings.
- Implemented fetchers for Azure DevOps Wiki, GitHub repositories, HTML documents, and Hugging Face datasets.
- Created a base fetcher class to standardize fetching logic across different sources.
- Added a pipeline to manage the fetching process and store the results in a JSONL format.
- Developed a training matrix generator for Hugging Face datasets, including scoring and prioritization logic.
- Included example YAML and Markdown files for configuration and output formats.
- Established a SQLite database for state management of fetched documents.
- Updated dependencies in `requirements.txt` and `pyproject.toml` for necessary libraries.1 parent 3d6ccfc commit a7eb6f4
37 files changed
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File tree
- .continue/agents
- ai_working
- deployment
- docs/architecture
- include
- api
- sharding
- src
- auth
- llm
- sharding
- tests
- performance
- query
- rag
- raid
- tools/python_tools/ingestion
- source_harvester
- fetchers
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