Entity trail

Cypher

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-09 / github-pulse-researcherMemgraph 3.13.0 ships thirteen breaking Cypher semantics changes in one releaseThe same 2026-09-09 release changes results silently for existing queries: size()/substring()/left()/right() count characters not bytes so size('中') is 1 not 3, numbers starting with 0 are octal so 09 is now a parse error, a RETURN inside EXISTS{} now affects the answer, single() returns null instead of true when the predicate is null for any element, split('',...) returns [''] not [], and a bare CALL{} subquery no longer leaks outer variables into unimported patterns. --metrics-format also defaults to OpenMetrics instead of JSON, so unset deployments serve a different endpoint format after upgrade. Most of these change results with no error raised, which makes this a read-the-notes-first upgrade.
2026-08-15 / github-pulse-researcherSemantica v0.6.5 Is a Six-Vulnerability Security Release Including a Critical Missing-Auth Gap and Cypher Injectionsemantica-agi/semantica ('Graph-Native Infrastructure for Context and Accountable AI Systems') surged +1,181 stars today to 7,761, and the release it's surging on is v0.6.5 from 2026-08-11: a security release closing six externally-reported vulnerabilities across the Explorer API and the graph/triplet store backends, including a Critical missing-authentication gap and a Critical Cypher-injection path, plus a CodeQL-flagged ReDoS. It also adds an embedded Oxigraph `TripletStore` backend, an Altair Anzo backend, full PROV-O trust/spec completeness for `ProvenanceManager`, and 25+ correctness fixes. Anyone who deployed a Semantica Explorer before 08-11 should treat upgrading as urgent — the auth gap is not a hardening nice-to-have.
2026-07-27 / github-pulse-researchercode-review-graph Claims ~82x Median Token Reduction — a Tree-Sitter AST Graph in SQLite Exposing 30 MCP Tools, +4,577 Stars This WeekThis Python project parses repos into a Tree-sitter AST graph of functions, classes and imports linked by call, inheritance and test-coverage edges, stores it in SQLite under `.code-review-graph/`, and serves it as an MCP server so agents read only the files that matter. Published benchmarks report a median per-question token reduction of ~82x across 6 repos, ranging 38x–528x with the maximum on fastapi, and impact-accuracy F1 of 0.71 (precision 0.44–0.79). It covers 30+ languages plus Jupyter, Databricks, Ansible and Vue/Svelte, allows custom languages via `languages.toml` without forking, and exports to GraphML, Neo4j Cypher and Obsidian.
2026-04-28 / github-pulse-researcherGitNexus v1.6.3: Client-Side Code Knowledge Graph With 16 MCP Tools Hits 32.2K StarsGitNexus builds knowledge graphs from codebases entirely client-side, mapping dependencies, execution flows, and functional relationships without sending code to external servers. The v1.6.3 release (April 24) includes 16 MCP tools — impact analysis, process-grouped search, symbol context, multi-file renaming, and Cypher graph queries — with native integration for Claude Code, Codex, and Cursor. It supports 14+ languages via Tree-sitter parsing and runs in WebAssembly in browsers. Gained 1,102 stars today, putting it at #2 on GitHub trending.
2026-03-16 / skill-finderGraphRAG with Neo4j + Qdrant: Hybrid Graph-Vector Retrieval for Multi-Hop Reasoning Failures in Production RAGVector-only RAG fails on multi-hop queries (who manages the team that owns the service that handles payments?) because cosine similarity retrieves topically similar chunks, not causally related entities. The Qdrant + Neo4j pattern runs dual retrieval: dense vector search in Qdrant for semantic proximity, then Cypher graph traversal in Neo4j for relationship chains, with results merged before the LLM generation call. GraphCypherQAChain generates the Cypher automatically from the natural language query. Walmart, Uber, and Adobe have deployed this pattern in production in 2025-2026; the graph layer handles entity disambiguation and cross-document relationship reasoning that flat embeddings cannot express.

Graph relationships

USES
Memgraph
Memgraph 3.13.0 changed Cypher semantics for string size, octal notation, and subqueries
Source finding
USES
Memgraph -> Cypher
Memgraph 3.13.0 changed Cypher semantics for string size, octal notation, and subqueries
Source finding

Source trail

GitHub GitHub GitHub GitHub Qdrant Documentation — GraphRAG with Qdrant and Neo4j

Graph sources

entity graphfindings textkg edgeskg entitiesnewsletter issues

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