Changelog

Milestone 1: MVP (Completed)

• Use default Redis port (#98) and establish PostgreSQL & Redis baseline.
• Stream RAG sync progress for GitHub repository synchronization (#100).
• Add client-side Markdown parsing to the CLI (#104).
• Refactor RAG ingestion into the CLI with a server upsert endpoint (#103).
• Perform RAG API functional tests and support per-file ingestion workflow in the CLI (#115).
• Allow RAG upsert to migrate embedding dimensions (#119) and document pgvector database initialization (#120).
• Ingest files automatically (#123).

Milestone 2: Hybrid Search (In Progress)

• Rename RAG 第二阶段优化规划为 docs/Milestone-2.md 并新增子任务列表。
• AskAI 接口与 CLI 规划使用 LangChainGo 框架以支持多模型与链式调用。
• Document local and Chutes model configurations for AskAI.
• CLI and server dynamically support 1024-dimensional embeddings.
• Update docs and configs to vector(1024) (#130).
• Add embedding configuration fields (#131).
• Add RAG API integration tests for vectors (#132).
• Add allama support (#136).
• Deploy homepage via rsync from CI and fix SSH directory creation (#18, #19).
• Deploy XControl panel via GitHub Actions (#20).
• Fix yarn lock context concatenation (#21).

Milestone 3: Production Monitoring & Optimization

• Switch server and CLI to Cobra (#133).
• Add repo sync proxy configuration (#135).
• Allow custom AskAI timeout (#141).
• Add log level support to CLI and server and log AskAI errors (#125, #140).
• Continue performance optimization, error handling, multi-model support, permission control, hot reload, and improve RAG upsert docs (#129).
• Enhance chunking and embedding with TOC and heading vectors, paragraph-based multi-size chunks, summaries, and deduplication.