kkollsga/kglite
Lightweight in-memory knowledge graph with Cypher query support
This tool helps data scientists, AI engineers, and analysts make sense of complex, interconnected data by organizing it as a "knowledge graph." You can load in various data sources like spreadsheets or text documents, define how they relate, and then ask sophisticated questions using a familiar query language. The output is structured answers or summarized data, making it easier to discover patterns, power AI agents, or improve search results.
Use this if you need to build and query a graph of interconnected information directly within your Python data science or AI workflow, without setting up a separate database server.
Not ideal if you need a persistent, standalone graph database accessible by multiple applications or users simultaneously, or if you require enterprise-grade scaling beyond in-memory limits.
Stars
18
Forks
1
Language
Rust
License
MIT-0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/kkollsga/kglite"
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