HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction · HackerPapers discussions

HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction — HN submission

Tue, 13 May 2025 17:26:38 GMT

Show HN: HelixDB – Open-source vector-graph database for AI applications (Rust)

Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g. key-value stores vs. node-and-edge tables).…

237 points; 112 discussion replies on HN. Paper and source history. A submission is not an endorsement.

HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction — HN submission

Wed, 16 Apr 2025 06:15:57 GMT

HybridRAG: Integrating Knowledge Graphs and Vector RAG

2 points; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction — HN submission

Thu, 22 Aug 2024 16:31:57 GMT

Why is this a research paper? HybridRAG = VectorRAG context and GraphRAG context

4 points; 1 discussion reply on HN. Paper and source history. A submission is not an endorsement.