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GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected - SynaLinks/HybridAGI
·github.com·
GitHub - SynaLinks/HybridAGI: The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
Matching skills and candidates with Graph RAG
Matching skills and candidates with Graph RAG
At Semantic Partners, we wanted to build our informed opinion over the strengths and weaknesses of graph RAG for RDF triple stores. We considered a simple use case: matching a job opening with Curriculum Vitae. We show how we used Ontotext GraphDB to build a simple graph RAG retriever using open, offline LLM models – the graph acting like a domain expert for improving search accuracy.
·semanticpartners.com·
Matching skills and candidates with Graph RAG
Working on a LangChain template that adds a custom graph conversational memory to the Neo4j Cypher chain
Working on a LangChain template that adds a custom graph conversational memory to the Neo4j Cypher chain
Working on a LangChain template that adds a custom graph conversational memory to the Neo4j Cypher chain, which uses LLMs to generate Cypher statements. This…
Working on a LangChain template that adds a custom graph conversational memory to the Neo4j Cypher chain
·linkedin.com·
Working on a LangChain template that adds a custom graph conversational memory to the Neo4j Cypher chain