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Lars 727de50290 Refine edge parsing and chunk attribution in chunking_parser.py and graph_derive_edges.py for version 4.2.9: Ensure current_edge_type persists across empty lines in callout blocks for accurate link processing. Implement two-phase synchronization for chunk authority, collecting explicit callout keys before the global scan to prevent duplicates. Enhance callout extraction logic to respect existing chunk callouts, improving deduplication and processing efficiency.		2026-01-11 14:30:16 +01:00
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app	Refine edge parsing and chunk attribution in chunking_parser.py and graph_derive_edges.py for version 4.2.9: Ensure current_edge_type persists across empty lines in callout blocks for accurate link processing. Implement two-phase synchronization for chunk authority, collecting explicit callout keys before the global scan to prevent duplicates. Enhance callout extraction logic to respect existing chunk callouts, improving deduplication and processing efficiency.	2026-01-11 14:30:16 +01:00
config	Implement WP-24c v4.2.0: Introduce configurable header names and levels for LLM validation and Note-Scope zones in the chunking system. Update chunking models, parser, and processor to support exclusion of edge zones during chunking. Enhance documentation and configuration files to reflect new environment variables for improved flexibility in Markdown processing.	2026-01-10 21:46:51 +01:00
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docs	Update graph_derive_edges.py to version 4.2.1: Implement Clean-Context enhancements, including consolidated callout extraction and smart scope prioritization. Refactor callout handling to avoid duplicates and improve processing efficiency. Update documentation to reflect changes in edge extraction logic and prioritization strategy.	2026-01-10 22:17:03 +01:00
scripts	Update graph_db_adapter.py, graph_derive_edges.py, graph_subgraph.py, graph_utils.py, ingestion_processor.py, and retriever.py to version 4.1.0: Introduce Scope-Awareness and Section-Filtering features, enhancing edge retrieval and processing. Implement Note-Scope Zones extraction from Markdown, improve edge ID generation with target_section, and prioritize Note-Scope Links during de-duplication. Update documentation for clarity and consistency across modules.	2026-01-10 19:55:51 +01:00
tests	Update graph_db_adapter.py, graph_derive_edges.py, graph_subgraph.py, graph_utils.py, ingestion_processor.py, and retriever.py to version 4.1.0: Introduce Scope-Awareness and Section-Filtering features, enhancing edge retrieval and processing. Implement Note-Scope Zones extraction from Markdown, improve edge ID generation with target_section, and prioritize Note-Scope Links during de-duplication. Update documentation for clarity and consistency across modules.	2026-01-10 19:55:51 +01:00
vault	vault/leitbild/templates/obsidian_review_daily.md hinzugefügt	2025-11-01 15:08:47 +01:00
vault_master	Pfad auflösen zum dictionary	2025-12-18 18:37:23 +01:00
ANALYSE_TYPES_YAML_ZUGRIFFE.md	Update type_registry, graph_utils, ingestion_note_payload, and discovery services for dynamic edge handling: Integrate EdgeRegistry for improved edge defaults and topology management (WP-24c). Enhance type loading and edge resolution logic to ensure backward compatibility while transitioning to a more robust architecture. Version bumps to 1.1.0 for type_registry, 1.1.0 for graph_utils, 2.5.0 for ingestion_note_payload, and 1.1.0 for discovery service.	2026-01-09 15:20:12 +01:00
README.md	README.md aktualisiert	2025-12-13 06:48:13 +01:00
requirements.txt	Anpassung WP20	2025-12-23 15:57:50 +01:00

README.md

mindnet API (bundle)

This bundle provides a minimal FastAPI app for embeddings and Qdrant upserts/queries plus a Markdown importer.

Quick start

python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt

# Environment (adjust as needed)
export QDRANT_URL=http://127.0.0.1:6333
export MINDNET_PREFIX=mindnet
export MINDNET_MODEL=sentence-transformers/all-MiniLM-L6-v2

# Run API
uvicorn app.main:app --host 0.0.0.0 --port 8001 --workers 1

# (optional) Ensure collections exist (or use setup_mindnet_collections.py you already have)
# python3 scripts/setup_mindnet_collections.py --qdrant-url $QDRANT_URL --prefix $MINDNET_PREFIX --dim 384 --distance Cosine

# Import some notes
python3 scripts/import_markdown.py --vault /path/to/Obsidian

Endpoints

POST /embed → { "texts": [...] } → 384-d vectors
POST /qdrant/upsert_note
POST /qdrant/upsert_chunk
POST /qdrant/upsert_edge
POST /qdrant/query → semantic search over chunks with optional filters

See scripts/quick_test.sh for a runnable example.

Anmerkung: Diese Datei ist veraltet und muss auf Stand 2.6.0 gebracht werden