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longer to load the tmpStream object than it took to create the original sdc object. A %DA/%DO object internally contains a data structure called a Packed Vector Array (PVA

</ColumnarGlobal> <Structure>vector</Structure> </Data> <Data name="_CDM_country"> <Attribute>country</Attribute> <ColumnarGlobal>

; Cloud Health: FHIR Server 📺 Webinar in Hebrew: GenAI + RAG - Leveraging InterSystems IRIS as your Vector DB 📺 Configuring a Web Server for use with InterSystems IRIS

(R^{2})\,\!} (in Big O notation). (~R∊R∘.×R)/R←1↓ιR Executed from right to left, this means: Iota ι creates a vector containing integers from 1 to R (if R= 6 at the start

be able to answer conceptual questions. Setting up vanna is extremely easy and quick. For our setup, we used chatgpt as the LLM, ChromaDB as our vector database, and Postgres

Exchange, the startups were doing their presentations. Here's a photo from the SerenityGPT presentation about their software, which utilizes IRIS Vector search to maximize

: @Eric.Fortenberry presented "A Minimalist View of AI: Exploring Embeddings and Vector Search with EasyBot": @Yuri.Gomes spoke about Natural Language Control of IRIS: @Muhammad.Waseem

to be combined with other attack vector prevention methods, like disabling CORS, mitigating http pollution, etc. By proactive, I mean that it is possible in the future

available" lines Aleksandar: Is it possible to return / read a resultset with the native API? All I've seen are simple vectors for return values. No, that functionality will be provided via DB-API

deployments✔️ Adapting existing C#, Java, and Python code to IRIS and IRIS interoperability via external language gateways✔️ GenAI, Vector Search, RAG✔

Header 2. Encrypted Key 3. Initialization Vector (IV) 4. Payload/Ciphertext 5. Authentication Tag ### Protected Header The protected header is the first part of a JWE

Learn how to design scalable, autonomous AI agents that combine reasoning, vector search, and tool integration using LangGraph. ![cover](/sites/default/files/inline/images

, there will be over 95% of empty space. Of course, no one stores maps as bitmap arrays, everybody uses vector representation instead.But what are vector maps? It's some kind

reasons, the training sample contained more records than usually). Another example: the labeling team has added a batch of new press in the process, a vectorization model has been

(compute_embedding) using the model defined by keras present in the facenet_keras_weights.h5 file, the embedding will not be more than a vector of eigenvalues of every face found in the known