Hi Andreas,
one more explanation Andreas Weininger pleased me to post:
Vector databases store (as the name implies) vectors of numerical components. The number of components of a vector is called the dimensionality of the vector. Vector databases can retrieve the most similar vectors for a given search vector. Several similarity metrics can be used e.g., Euclidian distance. For performance reasons vector databases will give an approximate result instead of the exact answer. Vector databases use indexes/methods like HNSW (https://en.wikipedia.org/wiki/Hierarchical_navigable_small_world) or inverted files for efficient retrieval of the results.
A typical use case for vector databases is Retrieval Augmented Generation where information encoded via so-called embeddings in vectors with hundreds or thousands of dimensions is stored in a vector database. A query to the vector store is used to get additional information which can be fed into the prompt of a large language model. The large language model can now answer a query and include information which wasn't part of its original training.
Best Regards, Henri
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Henri Cujass
leolo IT, CTO
Germany
IBM Champion
henri.cujass@leolo.com------------------------------
Original Message:
Sent: Fri June 07, 2024 04:49 AM
From: Andreas Legner
Subject: Vote now for : Multi Vector database functionality as Database Extend to Informix ( INFX-I-612 )
Mind explaining "Multi-Vector Database functionality (like Milvus)", to the dummies among us?
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Andreas Legner
Original Message:
Sent: Fri June 07, 2024 04:31 AM
From: Henri Cujass
Subject: Vote now for : Multi Vector database functionality as Database Extend to Informix ( INFX-I-612 )
We discuss during the leolo Mastermind Conference that will be an exceptional feature if Informix 15 has a Multi-Vector Database functionality (like Milvus).
May an additional functionality like time-series or as datablade like geospatial and text-search or as part of the core machine.
IBM Informix recommended I create a request because it's a long-term idea of the Product team since Version 12.10 . If we get enough votes for this feature from the community and customers, there's a large chance that R&D will put the Vector Database functionality into Informix Products.
Small background: It's a mandatory feature for AI to use RAG use cases in the future !
Please vote for Vector Database functionality inside Informix - and bring up Informix to the next AI level!
Best Regards
Henri
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Henri Cujass
leolo IT, CTO
Germany
IBM Champion
henri.cujass@leolo.com
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