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laya-jev-GraphRAG

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, continuous evaluation and custom A* traversal for any graph database.

Details

External ID
1383351011
Source
GITHUB
Company
—
Product
laya-jev-GraphRAG
Website domain
github.com
Launched
Sept. 23, 2026
Cohort
—
Upvotes
39
Upvotes percentile
0.776325903151422
Tags
astar-algorithm, eval-harness, fine-tuning, graphdatabase, graprag, jev, laya, neo4j, rag, typesafe-ai
Fetched at
Sept. 27, 2026, 5:02 p.m.
Updated at
Sept. 27, 2026, 5:02 p.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Search & retrieval
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
agentic graphrag retrieval engine for knowledge graphs
Manually corrected
False

Could you build this?

Partial The GraphRAG pipeline structure and DB connectors are vibe-codeable, but implementing a custom A* graph traversal heuristic tailored for heterogeneous graph databases (AGE, Kùzu, Neo4j) requires non-trivial algorithmic design.

What it would actually take: The solution requires a unified graph querying abstraction layer supporting Cypher across disparate engines (Neo4j, Memgraph, Apache AGE, Kùzu), paired with a custom graph search implementation implementing A* over semantic embedding distances and relationship weights. This requires specialized knowledge of graph data structures, semantic search heuristics, and database connection pooling/optimization.

Competitors

Other products that read as similar to this one — 465 launches clear the similarity bar, closest 8 shown.

Attention rank: #121 of 466 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 324 days after the earliest competitor.

Other launches for this product