c410d69970
轻量级 Obsidian Markdown RAG 系统，包含： - Markdown 结构感知分块（标题层级 + 代码块/表格整体保留） - FastEmbed + BAAI/bge-small-zh-v1.5 本地向量化 - SQLite + sqlite-vec 向量库（无需外部服务） - BM25 + 向量混合检索，RRF 融合 - 盘点模式（有哪些/列表/目录类问题） - DeepSeek API 生成回答 - mengya-rag CLI 工具（ask/search/context/read/sync/index/status） - docs/RAG优化方案.md 待实施优化计划 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
26 lines
623 B
TOML
26 lines
623 B
TOML
[project]
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name = "mengya-rag"
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version = "0.1.0"
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description = "轻量版萌芽 Obsidian RAG 知识库"
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requires-python = ">=3.11"
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dependencies = [
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"fastembed>=0.7.0",
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"llama-index-core>=0.12.0",
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"llama-index-llms-deepseek>=0.1.0",
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"python-dotenv>=1.0.1",
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"sqlite-vec>=0.1.9",
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]
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[project.scripts]
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mengya-rag = "mengya_rag.cli:main"
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mengya-sync-notes = "mengya_rag.cli:sync_notes"
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mengya-build-index = "mengya_rag.cli:build_index"
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mengya-ask = "mengya_rag.cli:ask"
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[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[tool.hatch.build.targets.wheel]
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packages = ["src/mengya_rag"]
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