arXiv (All)
open access
post-graph-rag: A PostgreSQL-Native Bi-Temporal Graph RAG Engine with Temporal Grounding at Synthesis
Graph RAG connects facts no single passage states, but implementations pay three times: in infrastructure, keeping vector store, graph database and document store in sync; in quality, because a pipeline that never refuses extractor output stores edges asserting nothing; and over time, because a grap
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- TGL-APT: Temporal Graph Learning with Graph Distillation for Efficient APT Investigation#471191
- RetroGEF: Dynamic Graph Edit Flow for Single-Step Retrosynthesis#1143085
- Sambamba: fast processing of NGS alignment formats#6678
- ConRAG: Lightweight inference of multi-hop relations#1129790
- Simplification Rules for Continuous-Time Quantum Walks on Dynamic Graphs#1012645
Record · ID 973343
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive