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India launches Iceberg DB for low-latency AI agent memory

By PulseAugur Editorial · [1 sources] ·

Iceberg DB has launched as a serverless vector database and AI agent memory engine, specifically designed for users in India. It addresses common issues with US-hosted databases by offering sub-20ms query latency from India, 100% Indian data residency compliant with the DPDP Act 2023, and a free tier that never pauses. The platform integrates features like hybrid search (dense and sparse), native AI agent memory with tiered TTL, and built-in neural embeddings, eliminating the need for separate embedding API keys from providers like OpenAI or Cohere. AI

IMPACT Provides a localized, lower-latency solution for AI agent development in India, potentially accelerating adoption of RAG pipelines and autonomous agents.

RANK_REASON Launch of a new vector database and AI agent memory engine.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

India launches Iceberg DB for low-latency AI agent memory

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Launch of a new vector database and AI agent memory engine.
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Iceberg DB ·

    Introducing Iceberg DB: India's Serverless Vector Database & AI Agent Memory Engine (<20ms Latency)

    <p>While building RAG pipelines and autonomous AI agents in India, I kept hitting the same three walls with US-hosted vector databases:</p> <ol> <li> <strong>200ms+ Network Latency:</strong> Every vector search from India to <code>us-east-1</code> adds ~200ms of round-trip latenc…

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