Flowise vs Vellum
Compare coding AI Tools
Open source visual builder and hosted platform for AI agents, chatbots and RAG pipelines, with drag-and-drop nodes, vector storage and hosted tiers for teams that prefer not to self host.
Vellum is an AI agent building platform that combines a prompt playground, evaluation tools, and hosted agent apps so teams can iterate on LLM workflows with debugging and knowledge base support, starting with a free tier and upgrading for more credits.
Feature Tags Comparison
Key Features
- Drag and drop canvas for LLM tools and memory
- Connect vector stores and ground answers
- Self host with Docker or use hosted tiers
- Unlimited flows on paid hosted plans
- Bring your own model keys for control
- Versioning and export for portability
- Free and Pro plans: Pricing starts at $0 with 50 credits and Pro at $25 with 200 builder credits so solo builders can scale testing
- Prompt playground: Compare models side by side and iterate prompts systematically instead of relying on subjective testing
- Evaluations framework: Run repeatable quality tests at scale to detect regressions and track improvements across prompt versions
- Hosted agent apps: Share working agents with teammates through hosted apps for demos
- reviews
- and stakeholder feedback cycles
Use Cases
- Prototype support and sales assistants fast
- Build retrieval pipelines over docs and wikis
- Embed chat into apps with a hosted endpoint
- Test multi tool agents with guardrails
- Run pilots on hosted then migrate to self host
- Teach agent patterns in workshops
- Agent prototyping: Build an agent by chatting with AI then refine logic with low code steps and controlled prompt versions
- Prompt iteration: Compare LLM outputs side by side and select prompts that improve accuracy and reduce unwanted variation
- Regression testing: Run evaluations on a saved dataset before release to catch quality drops after model or prompt changes
- RAG apps: Attach a knowledge base and test retrieval behavior with representative questions and strict document scope rules
- Stakeholder demos: Publish hosted agent apps so product and compliance reviewers can test behavior without local setup steps
- Model selection: Evaluate providers and self hosted options with the same tasks to choose the best cost and latency mix for production
Perfect For
developers, solutions engineers, data teams and agencies that want visual agent and RAG building with OSS flexibility or hosted convenience
product managers, ML engineers, software engineers, data scientists, AI platform teams, prompt engineers, QA and reliability teams, startups building LLM features, teams shipping agent workflows
Capabilities
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