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Description
Description
Currently, kit's indexing capabilities (e.g., DocstringIndexer, VectorSearcher) are primarily designed for local, on-demand use. To enhance kit's utility for teams and automated workflows, add "live" or continuous repository indexing, integrated with CI/CD pipelines.
Goals
- Automated Index Updates: Enable kit indexes (docstring summaries, semantic vector indexes) for specified repositories to be updated automatically as the codebase evolves.
- CI/CD Integration: Leverage CI/CD workflows (e.g., GitHub Actions) to trigger and manage these indexing processes.
- Shared Index Access: Ensure that the updated indexes are stored in a location accessible to relevant services or users (e.g., for a shared semantic search tool, an AI-powered Q&A bot over the codebase, etc.).
Potential Approaches for "Live" Indexing
The following approaches will be explored:
- Webhook-Triggered: Indexing is initiated by repository events (e.g., push to main, merge of a PR)
- Periodic/Scheduled: Indexing runs at regular intervals (e.g., nightly)
- Incremental Updates: Focus on efficiently updating indexes based on changes (diffs) rather than full re-indexes where possible
Key Challenges & Considerations
Index Storage & Accessibility
- Where should shared indexes be stored (e.g., dedicated ChromaDB server, cloud object storage, etc.)?
- How will different parts of kit (or tools built with kit) access these shared indexes?
- This will likely involve using configurable backends like RedisCacheBackend for shared caching and a persistent, network-accessible solution for VectorDBBackend
Scalability & Performance
- Indexing large repositories or frequent updates can be resource-intensive
- Optimizing indexing speed (e.g., effective caching, parallel processing, incremental updates) will be crucial
Configuration Management
- How will users configure which repositories are indexed, how often, and with what kit settings (LLM models, embedding functions, etc.)?
- Securely managing credentials (e.g., Git tokens, LLM API keys, database credentials) for CI jobs
Error Handling & Monitoring
- Robust error handling for indexing jobs
- Monitoring for indexing status and health
Resource Management for CI
- Managing the cost and execution time of indexing jobs within CI/CD systems
Use Cases
- Powering a constantly up-to-date semantic search service for a team's codebase
- Providing fresh context to LLM-based developer tools (Q&A bots, code assistants) that operate on evolving repositories
- Automated generation of code summaries or documentation artifacts as code changes
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