LlamaIndex - Integrate with Neo4j

[FlorentLvr]

This notebook demonstrates how to use Llamaindex and Neo4j as graph store to perform request and response model for the custom data. It is usefull for organizations to quickly integrate Neo4j with Llamaindex.

[FlorentLvr]

🚀 Branch and template have been created and pushed. You should work on:

• Branch: 2268-llamaindex-integrate-with-neo4j
• Notebook: LlamaIndex/LlamaIndex_Integrate_with_Neo4j.ipynb

[mahimairaja]

Hi @FlorentLvr ,

I work with LLM's and graph db, I find this will fit me. I would love to work on this issue.

Can you please assign this issue to me

[FlorentLvr]

mahimairaja

Hello @mahimairaja , I am glad you want to contribute on our repository! Please follow these instructions in the awesome-notebook README.md to start contributing. -> https://github.com/jupyter-naas/awesome-notebooks/blob/master/README.md#how-to-contribute Then, I will be happy to assign you to this issue! Let me know if you have any questions! 🙏 Cheers!

[mahimairaja]

Thank you for sharing the url FlorentLvr

Happy to tell that,I have registered for the contributor program. Would like to proceed with the further steps...

[FlorentLvr]

Thank you for sharing the url FlorentLvr

Happy to tell that,I have registered for the contributor program. Would like to proceed with the further steps...

Hello @mahimairaja! You should have received an email to join our team. Now, you can proceed to Step (https://github.com/jupyter-naas/awesome-notebooks/blob/master/README.md#step-2-technical-setup).

Please feel free to reach out if you have any questions! 🙏

[mahimairaja]

Hello @mahimairaja! You should have received an email to join our team.

I have received the mail of the form I have filled, but not the invitation to join the team.

Kindly help me with this @FlorentLvr

[FlorentLvr]

Hello @mahimairaja! You should have received an email to join our team.

I have received the mail of the form I have filled, but not the invitation to join the team.

Kindly help me with this @FlorentLvr

@mahimairaja, you should have a received an invitation. Please check your email used in GitHub:

[mahimairaja]

Thank you @FlorentLvr, I joined the awesome crew.

Kindly assign the issue to me

[FlorentLvr]

Thank you @FlorentLvr, I joined the awesome crew.

Kindly assign the issue to me

Welcome :)

[mahimairaja]

Glad starting my weekend with this cool notebook

Let me clarify few things before raising the PR

The gist of the notebook is to demonstrate the

1. Using OpenAI llm api to embed the data using data connectors (here - Simple Directory Reader) from Llama Index
2. Store it in the neo4j db instance - Knowledge Graph
3. Perform Retrieval Augmented Generation with OpenAI and the Knowledge graph built.
4. Display the response

Kindly comment on this @FlorentLvr

[FlorentLvr]

Glad starting my weekend with this cool notebook

Let me clarify few things before raising the PR

The gist of the notebook is to demonstrate the

1. Using OpenAI llm api to embed the data using data connectors (here - Simple Directory Reader) from Llama Index
2. Store it in the neo4j db instance - Knowledge Graph
3. Perform Retrieval Augmented Generation with OpenAI and the Knowledge graph built.
4. Display the response

Kindly comment on this @FlorentLvr

@mahimairaja, yes totally! @srini047 do you want to add something more?

[srini047]

Glad starting my weekend with this cool notebook Let me clarify few things before raising the PR The gist of the notebook is to demonstrate the

1. Using OpenAI llm api to embed the data using data connectors (here - Simple Directory Reader) from Llama Index
2. Store it in the neo4j db instance - Knowledge Graph
3. Perform Retrieval Augmented Generation with OpenAI and the Knowledge graph built.
4. Display the response

Kindly comment on this @FlorentLvr

@mahimairaja, yes totally! @srini047 do you want to add something more?

Nothing much @FlorentLvr, @mahimairaja let me know if you face any issues. Glad to assist you.

[mahimairaja]

Thanks, @srini047 for asking! Glad to hear from you!