hana-kgvector
What it is
A TypeScript framework for building hybrid GraphRAG applications using SAP HANA Cloud as a unified backend for both Knowledge Graphs (RDF) and vector embeddings. It provides a LlamaIndex-inspired API for schema-guided entity extraction and multi-modal document indexing.
The problem it solves
The complexity of managing separate databases for vector embeddings and Knowledge Graphs (RDF) in GraphRAG pipelines.
What you could use it for
- Building GraphRAG applications with unified storage for facts and vector embeddings
- Retrieving images or diagrams based on semantic relevance to surrounding text
- Multi-tenant knowledge graph construction for different domains
- Schema-guided extraction of entities and relations from documents using LLMs
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.