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Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval

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Re: Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval

#12
post #5

how do you search the graph network?

There are two steps: Vector search (HNSW): Find top-k similar entities/text units from the query embedding Graph traversal (BFS): From those seed entities, traverse relationships (up to 2 hops by default) to find connected entities This catches both semantically similar entities AND structurally related ones that might not match the query text. Implementation: https://github.com/gibram-io/gibram/blob/main/pkg/engine/…

This is how I did it a few years back while working for a set store company. It works well.
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