ktyptorio

3 ms·

1. 1.▲
   by ktyptorio 9mo ago

   Exactly, thank you. Still in LLM-based extraction.
2. 2.▲
   by ktyptorio 9mo ago

   Actually, the name definitely came after noticing RAM prices. Though the idea where the graph-in-memory only for ephemeral RAG sessions came first, we won't pretend the naming wasn't influenced by RAM being in the spotlight.
3. 3.▲
   by ktyptorio 9mo ago

   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 Thi
4. 4.▲
   by ktyptorio 9mo ago

   I've just released a casual personal project for Ephemeral GraphRAG. It's still experimental and open source: https://github.com/gibram-io/gibram
5. 5.▲
   Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval(github.com)

   60 points by ktyptorio 9mo ago|9 comments