Deep Dives

Detailed technical deep dives into EdgeQuake’s implementation.

• LightRAG Algorithm — The algorithm behind entity extraction and graph construction.
• Entity Extraction — How LLMs extract entities from text.
• Entity Normalization — Deduplication and canonicalization of entities.
• Chunking Strategies — Document splitting approaches and trade-offs.
• Query Modes — The 6 retrieval modes explained.
• Graph Storage — PostgreSQL AGE integration for graph operations.
• Vector Storage — pgvector for embedding-based retrieval.
• Embedding Models — Supported embedding providers and configuration.
• Community Detection — Graph clustering for global queries.
• PDF Processing — Vision LLM-powered PDF to markdown conversion.
• Gleaning — Multi-pass entity extraction for higher recall.
• Cost Tracking — Monitor and control LLM API costs.
• Pipeline Progress — Real-time processing status and progress tracking.