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Releases: NVIDIA-AI-Blueprints/aiq

AIQ v2 RC7

12 Mar 02:21
57a2ad1

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AIQ v2 RC7 Pre-release
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Full Changelog: 2.0.0.rc6...2.0.0.rc7

AIQ v2 RC6

05 Mar 01:15
62025e1

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AIQ v2 RC6 Pre-release
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What's Changed

Full Changelog: 2.0.0.rc5...2.0.0.rc6

AIQ v2 RC5

04 Mar 04:23
4dd603a

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AIQ v2 RC5 Pre-release
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What's Changed

New Contributors

Full Changelog: 2.0.0.rc4...v2.0.0.rc5

AIQ v2 RC4

27 Feb 01:56
851baef

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AIQ v2 RC4 Pre-release
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What's Changed

  • Update docs to reflect that DB credentials need to exist in the cluster secrets by @drobison00 in #104
  • updated knowledge docs to sync up with supported files types + instru… by @KyleZheng1284 in #102
  • Fix Knowledge Layer File Upload Bugs by @exactlyallan in #99

Full Changelog: 2.0.0.rc3...2.0.0.rc4

AIQ v2 RC3

26 Feb 03:15
5a16748

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AIQ v2 RC3 Pre-release
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What's Changed

Full Changelog: 2.0.0.rc2...2.0.0.rc3

AIQ v2 RC2

25 Feb 05:59
567c1ac

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AIQ v2 RC2 Pre-release
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AIQ v2 RC1

24 Feb 02:49
3304cb0

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AIQ v2 RC1 Pre-release
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What's New in AIQ 2.0.0

Added

  • Multi-agent architecture with intent-based routing across chat orchestrator, shallow researcher, deep researcher, and clarifier agents
  • Open-source Next.js web UI with TypeScript, NVIDIA Foundations design system, and 1,075+ unit tests
  • CLI frontend for terminal-based research workflows
  • Debug console for inspecting deep research runs
  • Unified REST + WebSocket API with real-time streaming of thinking steps, tool calls, and citations
  • Knowledge layer abstraction with pluggable adapters for LlamaIndex and NVIDIA Foundational RAG
  • Google Scholar paper search via Serper API as a new data source plugin
  • SQLite and PostgreSQL backends for LangGraph state checkpointing
  • Standalone evaluation benchmark packages: deepresearch_bench (RACE/FACT), deepsearch_qa, and freshqa
  • Comprehensive test suite across all agents, common utilities, API routes, and job management
  • CI workflows for Python linting, testing, coverage, and UI lint/type-check/build
  • Update documentation with getting started, API, and architecture guides

Changed

  • Renamed from aiq-aira to aiq-agent
  • Upgraded NeMo Agent Toolkit from 1.2 to 1.4 with async endpoint support
  • Restructured codebase into a uv workspace with independently installable packages for agents, sources, frontends, and benchmarks
  • Broadened Python support from 3.12-only to 3.11-3.13
  • Replaced monolithic single-agent pipeline with intent classification that routes simple queries to a fast shallow researcher
  • Switched linting/formatting tooling to ruff
  • Deployment no longer requires a running NVIDIA RAG Blueprint stack; supports NVIDIA API Catalog endpoints for GPU-free development

Removed

  • Closed-source frontend Docker container dependency
  • Hardcoded RAG and Tavily integration in agent code (now pluggable data sources)
  • Embedded evaluation code in agent source (moved to standalone benchmark packages)

v1.2.1

16 Jan 17:34
e053ac8

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What's Changed

  • Upgraded llama-3.3-70b-instruct NIM from version 1.13.1 to 1.14.0
  • Aligned Helm values and referenced Docker image tags with the new nim-llm version
  • Adopted RAG 2.3.2
  • Removed manual NIM_MODEL_PROFILE configuration from Helm values and Docker Compose to rely on automatic profile detection, updated documentation accordingly

Full Changelog: v1.2.0...v1.2.1

v1.2.0

22 Oct 17:27
afc3e6b

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What's Changed

  • Added support for Helm deployments
  • Add support and documentation for evaluation
  • Simplified the configuration and integration with RAG, removing nginx
  • Adopted RAG 2.3.0
  • Tested for compatability with RTX Pro 6000

Full Changelog: v1.1.1...v1.2.0

v1.2.0.rc5

15 Oct 09:56
bfc4d94

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v1.2.0.rc5 Pre-release
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Full Changelog: v1.2.0.rc4...v1.2.0.rc5