GloGraph
Map cause and effect, then query it like a database
What it does
A local-first desktop workstation for building typed, queryable causal and systems graphs. Own your data, script it with a Python SDK, pay once.
Does the same job
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- GLGraphiti – LLM-Powered Temporal Knowledge Graphs2024 · github.com · ▲142
Hey HN! We're Paul, Preston, and Daniel from Zep. We've just open-sourced Graphiti, a Python library for building temporal Knowledge Graphs using LLMs. Graphiti helps you create and query graphs that evolve over time. Knowledge Graphs have been explored extensively for information retrieval. What makes Graphiti unique is its ability to build a knowledge graph while handling changing relationships and maintaining historical context. At Zep, we build a memory layer for LLM applications. Developers use Zep to recall relevant user information from past conversations without including the entire…
- WBWe Built a Documentation Recommendation System Using Graph Database2022 · memgraph.com · ▲59
- GDGraph Database written in Python using wiredtiger with Gremlin querying2016 · github.com · ▲23
- MGMr. Graph – A graph definition and execution library for Python2023 · mr-graph.readthedocs.io · ▲24
What: Mr. Graph is a python library designed to make composing graphs of sync and async functions easy! Use google style docstrings to automagically create dataclasses and chain together function calls into graphs. Why: I like the design of Dagster, but not the latency. For apps and systems engineering, sometimes I want to compose a graph out of regular python functions. I don;t need all the heavy machinery that comes with a full workflow engine. Current features: - Use with either async or sync functions - Uses google style doc strings to name return values. - Creates dataclasses for each…
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