Langchain & Neo4j: Query Your Graph Database in Natural Language

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Langchain & Neo4j: Query Your Graph Database in Natural Language

Рет қаралды 4,523

Күн бұрын

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Code: github.com/lan...
#datascience #machinelearning #deeplearning #datanalytics #predictiveanalytics #artificialintelligence #generativeai #largelanguagemodels #computervision #naturallanguageprocessing #agents #transformers #embedding #graphml #graphdatascience #datavisualization #businessintelligence #optimization #montecarlosimulation #simulation #LLMs #python #aws #azure #gcp

Пікірлер: 36

@SridharKumarKannam 16 күн бұрын

If you found this content useful, pleases consider sharing it with others who might benefit. Your support is greatly appreciated :)

@johnkintree763 3 сағат бұрын

It would be lovely to see a speech recognition and generation model added to this workflow, and entities and relationships extracted from the conversations between the users and the digital agents, and these entities and relationships merged into a graph representation. If users could select parts of the conversations that they want to merge into a shared graph representation for public discussion, and knowledge and sentiment extracted from millions of simultaneous conversations with people around the world could be merged, we could create a collective human and digital intelligence.

@norendermoody6509 2 күн бұрын

A video on Product recommendation system where there are user and products data in Neo4j and where user can get related products while querying

@SuperTipu10 3 күн бұрын

Amazing work, thank you so much!

@SridharKumarKannam 2 күн бұрын

Thanks for your support. Pleases consider sharing it in your communities who might benefit. Your support is greatly appreciated :)

@mulderbm Ай бұрын

Thanks for all the hard work and take your time to explain all the details. It helps us to understand 😊

@SridharKumarKannam Ай бұрын

Thank you very much for your support :)

@ronifintech9434 2 ай бұрын

Love your videos!!!! Thanks for the knowledge sharing!

@SridharKumarKannam 2 ай бұрын

Thanks for your support :)

@bayu_sm Ай бұрын

Great explanation. Thanks!

@SridharKumarKannam Ай бұрын

Thanks for your support :)

@williammariasoosai1153 4 ай бұрын

Sridhar, very crisp and clear explanation. Thanks a lot !!

@SridharKumarKannam 3 ай бұрын

Thank you very much :)

@out-of-sight 4 ай бұрын

Just in time, I'm waiting for more updates about graph and llm based technologies related videos. Thank you.

@SridharKumarKannam 4 ай бұрын

thank you, sure, I'll do more videos as I get time...

@darkmatter9583 Ай бұрын

wow this is something really interesting finally what i wanted!!! thank you very much 🙏

@SridharKumarKannam Ай бұрын

Thanks for your support :)

@darkmatter9583 Ай бұрын

have a question, i would like advice to learn the right way because everyday in AI releases a new thing and i feel like im stuck, because im not so good to implement papers or x project(dont know web or work with vs only colab) but im aware that is a problem to be creative building your own projects, i ve binged a lot of tutorials and then when you get in the loop of failing a lot of times , you dont learn at the implementation side to upload to eg GitHub...so its complicated,i wanted to ask you some advice or if you could teach me better because its years around and im stuck ,thanks 🙏@@SridharKumarKannam

@mrrohitjadhav470 4 ай бұрын

awesome tutorial please make a tutorial on not only keywords as nodes but also a summary of the text of the node/topics.

@SridharKumarKannam 3 ай бұрын

thank you, sure, I'll try

@arjuns5732 19 күн бұрын

First of all, Thanks for the wonderful explanation. But I have a doubt, The LLMGraphTransformer converts text documents into structured graph documents using LLM . (llm_transformer.convert_to_graph_documents(documents)). Similarly Is there any predefined methods to create graph schema for csv data so that we don't need to write the cypher query for it.

@SridharKumarKannam 18 күн бұрын

as far as I know, there isn't any. Creating entities and relationships from text is conceptually easy, but for a tabular data, you have to define what are entities, their properties and relationships, through cypher...

@AniketGaudgaul 4 ай бұрын

Great explanation, can you please also post a tutorial for same using the ReAct agent. Thanks.

@SridharKumarKannam 3 ай бұрын

Sure, I'll try :)

@034_mayankparashar9 10 күн бұрын

Is there any way through which we can summarize the graph from our neo4j as we are unable to query it. As it is not working by changing the query ,asking for summarization

@SridharKumarKannam 9 күн бұрын

One way to summarise a graph is, first extract all the node/relations data from graph in a table or json format and then provide that info as context llm for summarisation...

@lucasmorel153 2 ай бұрын

Hi, Great video thanks !! Do you think the graph.refresh_schema() (13:22 in your video) works still if the Neo4J DB hasn't been created by the same code ? thanks again for really rich informations here

@SridharKumarKannam 2 ай бұрын

Thanks for your support. I think it should work fine. Pls let me know if it doesn't...