gmakstutis/cognee
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

Added docs

Browse source
This commit is contained in:
Vasilije 2024-03-25 12:01:34 +01:00
parent 004bdf143d
commit 3699fe9e84
1 changed files with 12 additions and 1 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

13
docs/blog/posts/cognee-library-release.md
View file

@ -29,11 +29,20 @@ With the integration of Keepi.ai, we encountered several challenges that made us
Moving forward, we have adopted several new strategies, features, and design principles:
<aside>
💡 Propositions: Defined as atomic expressions within a text, each proposition encapsulates a unique factoid, conveyed in a succinct, standalone natural language format. We employ Large Language Models (LLMs) to break down text into propositions and link them, forming graphs with propositions as nodes and their connections as edges. For example, **"Grass is green", and "2 + 5 = 5"** are propositions. The first proposition has the truth value of "true" and the second "false". The inspiration was found in the following [paper](https://arxiv.org/pdf/2312.06648.pdf)
💡 Propositions: Defined as atomic expressions within a text, each proposition encapsulates a unique factoid, conveyed in a succinct, standalone natural language format.
We employ Large Language Models (LLMs) to break down text into propositions and link them, forming graphs with propositions as nodes and their connections as edges.
For example, **"Grass is green", and "2 + 5 = 5"** are propositions. The first proposition has the truth value of "true" and the second "false".
The inspiration was found in the following [paper] (https://arxiv.org/pdf/2312.06648.pdf)
</aside>
<aside>
💡 Multilayer Graph Network:
A cognitive multilayer networks is both a quantitative and interpretive framework for exploring the mental lexicon, the intricate cognitive system that stores information about known words/concepts.
@ -48,6 +57,8 @@ We used concepts from psycholinguistics described [here](https://arxiv.org/abs/1
</aside>
<aside>
💡 Data Loader: