vectorlink

I was looking at various forms of indexing solutions to solve search and clustering problems with TerminusDB for clients. When I compared solutions against embeddings from LLMs, they LLMs were just far easier to work with and got much better results. I believe traditional text indexing will die quickly, as will a lot of the Entity Resolution and traditional clustering methods to be replaced completely by LLM's. We found them so compelling we wrote our own open source vector database sidecar: https://github.com/terminusdb-labs/terminusdb-semantic-index...

I think sidecar vector databases that work with existing dbs will emerge as more prevalent than the pure vector DB. I also think the vector & graph combo on highly interconnected data will have additional benefits for those building a wide range of LLM applications. A good example is the VectorLink architecture with TerminusDB [1] which is based on Hierarchical Navigable Small World graphs written in Rust. [1] https://github.com/terminusdb-labs/terminusdb-semantic-index...