feat(search): vector search engine + FastAPI + MCP server#633
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Lsh0x wants to merge 2 commits intobuddhist-uni:mainfrom
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feat(search): vector search engine + FastAPI + MCP server#633Lsh0x wants to merge 2 commits intobuddhist-uni:mainfrom
Lsh0x wants to merge 2 commits intobuddhist-uni:mainfrom
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- Qdrant vectorDB (Docker): collection buddhist_content, 384-dim COSINE - Ingestion pipeline: 4494 docs indexés en 25s (all-MiniLM-L6-v2) Réutilise website.py (frontmatter) + pdfutils.py existants - FastAPI (port 8001): /search, /courses, /teachers, /reading-path Filtrage natif par tags, catégorie, cours, min_stars - MCP server (5 tools): search_dharma, get_course, list_courses, find_by_teacher, get_reading_path — branché Claude Code via .mcp.json Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- test_search.py: embedder (singleton, norme L2, batch), extract (payload, catégories, stars), Qdrant (filtre cat/tags, ordre scores, pertinence), tools MCP (courses, teacher, reading path tous niveaux) - test_api.py: tous endpoints FastAPI (search, courses, teachers, reading-path) validation params (limit max, level pattern, min_length query) - pytest.ini: mark integration enregistré - README.md: setup complet, endpoints, tools MCP, réindexation Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Summary
/search,/courses,/teachers,/reading-pathendpoints and native filtering by tags, category, course, and min_starssearch_dharma,get_course,list_courses,find_by_teacher,get_reading_path) integrated into Claude Code via.mcp.jsonTest plan
pytestto verify all 56 tests pass🤖 Generated with Claude Code