Repo · Search & RAG

laya-jev-GraphRAG

GraphRAG with swappable System One models.

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From the repository

A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence layer featuring a complete 4-phase pipeline and custom A* traversal for any graph database.

astar-algorithmeval-harnessfine-tuninggraphdatabasegrapragjevlayaneo4jragtypesafe-ai

How builders describe it

Agentic GraphRAG engine using swappable System One decision models (local Laya / cloud Jev). Features a complete 4-phase pipeline (Ingestion, Pre-Retrieval, Traversal, Post-Retrieval) and evaluation across Neo4j, Memgraph, Apache AGE, and Kùzu driven by a custom A* traversal algorithm.

Graph-database-agnostic Agentic GraphRAG: a 4-phase pipeline where swappable System One models (local Laya / cloud Jev) drive Score, Noul, and Choice across ingestion, traversal, and post-retrieval.

GraphRAG layer that runs a 4-phase ingest-to-answer pipeline over Neo4j, Memgraph, AGE or Kuzu using Laya or Jev decisions instead of per-hop LLM calls.

The decision Jev makes

Rank candidates against a query, or answer whether a passage is relevant.

Where it fits

Search pipelines retrieve too much. These projects use Jev as a reranker or relevance check after the first search, so only useful results reach the user or the model. All 108 search & rag projects →

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