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

update readme to mention starter repo (#510)

Browse source 
<!-- .github/pull_request_template.md -->

## Description
<!-- Provide a clear description of the changes in this PR -->

## DCO Affirmation
I affirm that all code in every commit of this pull request conforms to
the terms of the Topoteretes Developer Certificate of Origin


<!-- This is an auto-generated comment: release notes by coderabbit.ai
-->

## Summary by CodeRabbit

- **Documentation**
- Improved grammatical correctness and enhanced clarity in the project
documentation.
- Refined descriptions for capabilities, user instructions, and
community engagement.
- Introduced a note about a starter repository to help users get up and
running quickly.

<!-- end of auto-generated comment: release notes by coderabbit.ai -->
This commit is contained in:
Hande 2025-02-08 10:37:01 +01:00 • committed by GitHub
parent 5e350f57bd
commit 2ef10b3b4b
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
1 changed files with 5 additions and 3 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

8
README.md
View file

@ -14,12 +14,14 @@ We build for developers who need a reliable, production-ready data layer for AI
Cognee implements scalable, modular ECL (Extract, Cognify, Load) pipelines that allow you to interconnect and retrieve past conversations, documents, and audio transcriptions while reducing hallucinations, developer effort, and cost.
Cognee merges graph and vector databases to uncover hidden relationships and new patterns in your data. You can automatically model, load and retrieve entities and objects representing your business domain and analyze their relationships, uncovering insights that neither vector stores nor graph stores alone can provide. Learn more about use-cases [here](https://docs.cognee.ai/use_cases)
Cognee merges graph and vector databases to uncover hidden relationships and new patterns in your data. You can automatically model, load and retrieve entities and objects representing your business domain and analyze their relationships, uncovering insights that neither vector stores nor graph stores alone can provide. Learn more about use-cases [here](https://docs.cognee.ai/use_cases).
Try it in a Google Colab <a href="https://colab.research.google.com/drive/1g-Qnx6l_ecHZi0IOw23rg0qC4TYvEvWZ?usp=sharing">notebook</a> or have a look at our <a href="https://docs.cognee.ai">documentation</a>
Try it in a Google Colab <a href="https://colab.research.google.com/drive/1g-Qnx6l_ecHZi0IOw23rg0qC4TYvEvWZ?usp=sharing">notebook</a> or have a look at our <a href="https://docs.cognee.ai">documentation</a>.
If you have questions, join our <a href="https://discord.gg/NQPKmU5CCg">Discord</a> community
If you have questions, join our <a href="https://discord.gg/NQPKmU5CCg">Discord</a> community.
Have you seen cognee's <a href="https://github.com/topoteretes/cognee-starter">starter repo</a>? It is designed to help you get started with easy setup and example pipelines. Check it out!
<div align="center">
<img src="assets/cognee_benefits.png" alt="why cognee" width="80%" />