AI-ML-PLATFORMS
Phoenix evals pins out a compromised LiteLLM release and the emSign root.
Alternatives · ai ml platforms
RAGFlow alternatives
The best RAGFlow alternatives in ai ml platforms, ranked by Sparkpulse's velocity_score.
Updated Oct 28, 2026
Looking for the best alternatives to RAGFlow? Sparkpulse tracks and ranks 7 alternatives in ai ml platforms by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, RAGFlow shipped 0 meaningful updates in the last 30 days and carries a velocity score of 7.5 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About RAGFlow
RAGFlow's dev builds settle permission ownership while the rest is migrations and test plumbing.
RAGFlow is shipping several dev builds a day ahead of its v1.0 line. This week's builds fix a migration, update the base DB model, add a model-group hook, start the standalone DeepDoc server before infrastructure, and keep enterprise test placeholders in the open-source tree. An earlier 10-23 build aligned resource and agent ownership with the new permission model.
Velocity 7.5 · Last update 19h ago
Top 7 alternatives to RAGFlow
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
AI-ML-PLATFORMS
LiteLLM's 1.109 dev build stacks 704 PRs and 15 required config changes.
AI-ML-PLATFORMS
AnythingLLM's Docker image can now run models itself, no Ollama or LM Studio required.
AI-ML-PLATFORMS
Mem0 is teaching coding agents to search memory less and trust it more.
AI-ML-PLATFORMS
MLflow 3.17.2 records dataset, scorer and agent lineage on every GenAI evaluation run.
AI-ML-PLATFORMS
Kubeflow's main repo is now a signpost: real releases live in seven subprojects.
AI-ML-PLATFORMS
Label Studio's only tracked signal is a nightly build toward 1.24.
RAGFlow vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| RAGFlow (baseline) | 7.5 | 0 | ragai-ml-platformspermissions | — |
| Arize Phoenix | 5.0 | 0 | llm observabilityevalstracing | — |
| LiteLLM | 5.0 | 0 | llm gatewaybreaking changessupply-chain security | — |
| AnythingLLM | 3.1 | 1 | local llmself-hosteddocker | AnythingLLM v1.19.0 |
| Mem0 | 2.6 | 0 | agent memorysdkcoding agents | — |
| MLflow | 1.6 | 0 | llm-observabilityevaluationlineage | — |
| Kubeflow | 0.3 | 0 | mlopskubernetesml-pipelines | — |
| Label Studio | 0.3 | 0 | data-labelingannotationnightly-builds | — |
The 7 best RAGFlow alternatives, in depth
1. Arize Phoenix · velocity 5.0
Phoenix evals pins out a compromised LiteLLM release and the emSign root.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where RAGFlow leans on rag, ai ml platforms and permissions, Arize Phoenix focuses on llm observability, evals and tracing.
Arize Phoenix and RAGFlow have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Arize Phoenix trajectory → · Compare RAGFlow vs Arize Phoenix →
2. LiteLLM · velocity 5.0
LiteLLM's 1.109 dev build stacks 704 PRs and 15 required config changes.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where RAGFlow leans on rag, ai ml platforms and permissions, LiteLLM focuses on llm gateway, breaking changes and supply chain security.
LiteLLM and RAGFlow have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
3. AnythingLLM · velocity 3.1
AnythingLLM's Docker image can now run models itself, no Ollama or LM Studio required.
Over the last 30 days AnythingLLM shipped 1 meaningful update vs RAGFlow's 0, most recently “AnythingLLM v1.19.0”. Its velocity score of 3.1/10 blends that with longer-term release cadence.
Where RAGFlow leans on rag, ai ml platforms and permissions, AnythingLLM focuses on local llm, self hosted and docker.
Over the last 30 days AnythingLLM has been shipping faster than RAGFlow — a point in its favour if release momentum matters to you.
Full AnythingLLM trajectory → · Compare RAGFlow vs AnythingLLM →
4. Mem0 · velocity 2.6
Mem0 is teaching coding agents to search memory less and trust it more.
Its velocity score of 2.6/10 reflects longer-term release cadence.
Where RAGFlow leans on rag, ai ml platforms and permissions, Mem0 focuses on agent memory, sdk and coding agents.
Mem0 and RAGFlow have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
5. MLflow · velocity 1.6
MLflow 3.17.2 records dataset, scorer and agent lineage on every GenAI evaluation run.
Its velocity score of 1.6/10 reflects longer-term release cadence.
Where RAGFlow leans on rag, ai ml platforms and permissions, MLflow focuses on llm observability, evaluation and lineage.
MLflow and RAGFlow have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
6. Kubeflow · velocity 0.3
Kubeflow's main repo is now a signpost: real releases live in seven subprojects.
Its velocity score of 0.3/10 reflects longer-term release cadence.
Where RAGFlow leans on rag, ai ml platforms and permissions, Kubeflow focuses on mlops, kubernetes and ml pipelines.
Kubeflow and RAGFlow have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
7. Label Studio · velocity 0.3
Label Studio's only tracked signal is a nightly build toward 1.24.
Its velocity score of 0.3/10 reflects longer-term release cadence.
Where RAGFlow leans on rag, ai ml platforms and permissions, Label Studio focuses on data labeling, annotation and nightly builds.
Label Studio and RAGFlow have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Label Studio trajectory → · Compare RAGFlow vs Label Studio →
Frequently asked questions
What are the best alternatives to RAGFlow?
The top RAGFlow alternatives we currently track in ai ml platforms are Arize Phoenix, LiteLLM, AnythingLLM, Mem0, MLflow, ranked by recent ship velocity.
How is this list of RAGFlow alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare RAGFlow directly with one of these alternatives?
Yes — every card has a "Compare with RAGFlow" link to a side-by-side /compare page.