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.
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
thanks for your suggestion, I'll try.. Thanks for your support. Pleases consider sharing it in your communities who might benefit. Your support is greatly appreciated :)
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.
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...
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
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
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...
we have issue with neo4j docker its connect to langchain its trow errors can you make video instead of using neo4j desktop use docker and explain us to work around
whats the issue? You can post such problems on langchain github here - github.com/langchain-ai/langchain/issues Check someone might already have posted a solution.
