NEW: sulpher

sulpher v0.2.0 is out — a Cypher graph query language parser written in Go.

This release completes openCypher 9 coverage and adds several Neo4j 5+ idioms:

✓ CALL {} subquery blocks (with variable scope clause and IN TRANSACTIONS)
✓ COUNT {} / COLLECT {} subquery expressions
✓ Label boolean expressions: (n:Person&Employee), (n:!Bot)
✓ LOAD CSV, pattern comprehensions, reduce(), quantified paths {n,m}
✓ Hex/octal literals, || GQL string concatenation
✓ 45-file corpus, 269 queries, 100% pass rate

Compatibility: openCypher 9 100% · Neo4j 5 ~85% · Neo4j 25 ~65%

https://github.com/ha1tch/sulpher

#Go #Golang #Neo4j #Cypher #GraphDatabase #OpenSource #Parser #FOSS #Sulpher

GitHub - ha1tch/sulpher: A Cypher-compatible parser implemented in Go

A Cypher-compatible parser implemented in Go. Contribute to ha1tch/sulpher development by creating an account on GitHub.

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Another revolutionary graph database! 🎉 Built in #Rust to satisfy your insatiable techie cravings, it promises world peace and unlimited storage! 🙄 Meanwhile, the rest of us will just wait for the next database savior to appear and chant the same #buzzwords. 😂
https://github.com/HelixDB/helix-db/tree/main #graphdatabase #techtrends #databaseinnovation #HackerNews #ngated
GitHub - HelixDB/helix-db: HelixDB is an OLTP graph-vector database built in Rust.

HelixDB is an OLTP graph-vector database built in Rust. - HelixDB/helix-db

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HelixDB is an OLTP graph-vector database built in Rust. - HelixDB/helix-db

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Show HN: HelixDB - A graph database built on object storage

https://github.com/HelixDB/helix-db/tree/main

#HackerNews #Tech #GraphDatabase

GitHub - HelixDB/helix-db: HelixDB is an OLTP graph-vector database built in Rust.

HelixDB is an OLTP graph-vector database built in Rust. - HelixDB/helix-db

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Sample applications in development: https://github.com/inventivepotter/dotmd & https://github.com/tejzpr/Smriti-MCP
See also Grafeo: https://github.com/GrafeoDB/grafeo
#AIEd #AIEngineering #KnowledgeGraph #GraphDB #graphdatabase
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(draft) This chapter explores the development of “ghosts in the machine,” or digital copies of personalities, by leveraging cognitive architectures, graph databases, generative AI, and all the reco…

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