May 22, 2026 · AI
Memory as Adaptation
Why agent memory moved from RAG storage to the foundation of policy adaptation
#AI
#Agent
#Memory
#RAG
#RAG
한국어May 21, 2026 · AI
Comparing Four LightRAG Variants — Same Root, Different Production Strategies
Source-level comparison of RAG-Anything, ApeRAG, and EdgeQuake as LightRAG derivatives
#LightRAG
#RAG-Anything
#ApeRAG
#EdgeQuake
May 20, 2026 · AI
PDF to Markdown — Five Tools Compared
Five PDF-to-Markdown converters (markitdown, pdftotext, pymupdf, mineru, opendataloader-pdf) scored against a seven-criterion 100-point rubric
#PDF
#Markdown
#RAG
#Ingestion
May 20, 2026 · AI
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
#LightRAG
#PostgreSQL
#RAG
#GraphRAG
May 20, 2026 · DB
In-DB AI, Five Systems Compared — Why Most Are Misguided
Oracle 23ai, EDB AIDB, PostgresML, Timescale pgai, pg_aidb — five systems and the abstraction-boundary discussion
#PostgreSQL
#AI
#RAG
#in-db-ai
May 20, 2026 · DB
Replacing Elasticsearch with PostgreSQL for Korean Search — An 8-Phase Study
textsearch_ko (MeCab) + pg_textsearch BM25 + pgvector HNSW + DB-side RRF matches Elasticsearch on Korean search quality and runs 2–5× faster on a single node. Eight phases of measurement, head-to-head against ES, Qdrant, and Vespa.
#PostgreSQL
#Elasticsearch
#Korean
#BM25
