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v0.25.4 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 21d RAG & Retrieval
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agentic-ai agentic-retrieval agentic-search ai ai-agents context-engine
+4 more
context-management llm-apps llm retrieval-augmented-generation

ReleasePort's take

Light signal
editorial:auto 13d

Version v0.25.4 introduces a generic, configuration-driven RESTful API data source connector and several enhancements including filter/sort for Agent tags, widget customization, new OpenAI models, bug fixes for dataset downloads and PDF processing, and Voyage AI provider support for Go.

Why it matters: If you use the API connector or affected features, test v0.25.4 in development before production deployment to validate the new capabilities and bug fixes.

Summary

AI summary

Adds a generic, configuration-driven RESTful API data source connector.

Changes in this release

Feature Medium

Adds generic, configuration-driven RESTful API data source connector

Adds generic, configuration-driven RESTful API data source connector

Source: llm_adapter@2026-05-21

Confidence: high

 —
Feature Medium

Adds filtering and sorting to Agent tag management

Adds filtering and sorting to Agent tag management

Source: llm_adapter@2026-05-21

Confidence: high

 —
Feature Medium

Adds widget customization and persistence

Adds widget customization and persistence

Source: llm_adapter@2026-05-21

Confidence: high

 —
Feature Medium

Adds gpt-5.4-mini and gpt-5.4-nano to OpenAI model list

Adds gpt-5.4-mini and gpt-5.4-nano to OpenAI model list

Source: llm_adapter@2026-05-21

Confidence: high

 —
Feature Medium

Implements Voyage AI provider for Go

Implements Voyage AI provider for Go

Source: llm_adapter@2026-05-21

Confidence: high

 —
Bugfix Medium

Fixes dataset document download route

Fixes dataset document download route

Source: llm_adapter@2026-05-21

Confidence: high

 —
Bugfix Medium

Fixes pdfplumber resource leak using context manager

Fixes pdfplumber resource leak using context manager

Source: llm_adapter@2026-05-21

Confidence: low

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Full changelog

Summary

New features

  • Adds a generic, configuration-driven RESTful API data source connector.

Improvements

  • Agent tag management with filtering and sorting.
  • Widget customization and persistence.

Model support

  • Adds gpt-5.4-mini and gpt-5.4-nano to the OpenAI model list

Bug fixes

Fixed dataset document download route.

What's Changed

  • Feature/generic api connector by @ahmadintisar in https://github.com/infiniflow/ragflow/pull/13545
  • fix: use context manager for pdfplumber to prevent resource leak by @gambletan in https://github.com/infiniflow/ragflow/pull/13512
  • Add widget customization and persistence by @47NoahThompson in https://github.com/infiniflow/ragflow/pull/14603
  • Docs: Editorial updates to the v0.25.3 release notes draft. by @writinwaters in https://github.com/infiniflow/ragflow/pull/14903
  • feat: add tag management for Agents with filtering and sorting (#14774) by @plind-junior in https://github.com/infiniflow/ragflow/pull/14799
  • Go: implement provider: Voyage AI by @tmimmanuel in https://github.com/infiniflow/ragflow/pull/14811
  • Fix doc format by @yingfeng in https://github.com/infiniflow/ragflow/pull/14909
  • Adds gpt-5.4-mini and gpt-5.4-nano by @sirj0k3r in https://github.com/infiniflow/ragflow/pull/14908
  • Docs: Finalized v0.25.3 release notes by @writinwaters in https://github.com/infiniflow/ragflow/pull/14913
  • Fix: dataset document download route by @buua436 in https://github.com/infiniflow/ragflow/pull/14910
  • Docs: Update version references to v0.25.4 in READMEs and docs by @asiroliu in https://github.com/infiniflow/ragflow/pull/14912
  • Docs: Added v0.25.4 release notes draft. by @writinwaters in https://github.com/infiniflow/ragflow/pull/14914

New Contributors

  • @47NoahThompson made their first contribution in https://github.com/infiniflow/ragflow/pull/14603
  • @plind-junior made their first contribution in https://github.com/infiniflow/ragflow/pull/14799
  • @sirj0k3r made their first contribution in https://github.com/infiniflow/ragflow/pull/14908

Full Changelog: https://github.com/infiniflow/ragflow/compare/v0.25.3...v0.25.4

View diff on GitHub

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About ragflow

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

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