FirstBatch SDK
  • Get Started
    • Introduction
    • Installation
    • Quick Start
  • Learn
    • Key Concepts
      • Embeddings
      • Vector Databases
      • User Embeddings
    • Sessions
    • Signals
    • Batches
    • Algorithms
      • Batch Types
        • Random
        • Sampled
        • Personalized
        • Biased
      • Parameters & Tuning
    • Cookbook
      • Simple Flask App
      • Personalized RSS Feed
      • Personalized Mini TikTok
      • User-Intent AI Agents
      • Extending RAG: User Embeddings
      • Prompt Based User Journeys
      • User-Centric Promoted Content
  • Modules
    • FirstBatch
    • Algorithms
    • VectorStores
      • Pinecone
      • Weaviate
      • Qdrant
      • Typesense
      • Supabase
      • Chroma
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Batches

PreviousSignalsNextAlgorithms

Last updated 1 year ago

The batch method interacts with the integrated vector databases to query and fetch personalized content, utilizing a specific algorithm aligned with the user's embeddings.

In this context, "batch" refers to a new set of data, which could be triggered by actions like loading a new page, scrolling down, or clicking a link. As new items are displayed in the app, the batch method sources data that is personalized according to the user's embeddings.

In addition, the SDK performs post-processing on batches for a multitude of reasons. More on .

Parameters
Batch Flow