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AI / RAG

2026-05 5 posts

  1. Comparing Four LightRAG Variants — Same Root, Different Production Strategies

    Three LightRAG derivatives read at source level: RAG-Anything adds multimodal, ApeRAG becomes a platform without multi-hop, EdgeQuake rewrites it in Rust.

    AI·RAG #25

  2. GraphDB Benchmark (2/2) — Workload Matrix and Final Recommendations

    Eight graph engines on OLTP, memory, analytics, and differentiation queries, with a decision table by workload. On OLTP, RCTE tied MemGraph at 22.5K RPS.

    AI·RAG #21

  3. PDF to Markdown — Five Tools Compared

    Five PDF-to-Markdown converters on one academic paper, 100-point rubric: mineru scored 92 with formulas and tables intact; markitdown scored 14.

    AI·RAG #17

  4. LightRAG Without Apache AGE — Graph Storage in Recursive CTE

    Implementing LightRAG's BaseGraphStorage on plain PostgreSQL with RCTE — why a 1-hop-dominant retrieval pattern fits flat SQL

    AI·RAG #14

  5. GraphDB Benchmark, Eight Engines (Part 1) — Decomposing the RCTE 290x Gap

    On a 1.14M-edge knowledge graph, PostgreSQL RCTE had 290x the throughput of Apache AGE, traced to a ~13ms cypher() wrapper cost and plan generation.

    AI·RAG #20

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