ragflow vs deepfabric

Common questions

What is the difference between ragflow and deepfabric?

ragflow: Retrieval-Augmented Generation engine with agent capabilities. deepfabric: Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline. See the comparison table for live GitHub stats and shared categories.

When should I choose ragflow over deepfabric?

Choose ragflow over deepfabric when ragflow is primarily Go; deepfabric is Python; Requirements: Requires Docker; Docker image size is approximately 2 GB; build process requires access to external LLM and embedding services.; Tags unique to ragflow: agentic-ai, context-management, rag, retrieval-augmented-generation; ragflow ships Docker support for self-hosted deployment; - You need an integrated RAG system with AI agent capabilities for better context management in your applications.

When should I choose deepfabric over ragflow?

Choose deepfabric over ragflow when deepfabric is primarily Python; ragflow is Go; Tags unique to deepfabric: agents, ai, data-science, dataset; Also covers Model Training.

When should I avoid ragflow?

- If you specifically require a non-Golang developed RAG engine, as RAGFlow is built entirely in Go. - Your setup does not support or need Docker (RAGFlow requires building a Docker image that is approximately 2 GB). - You cannot use external LLM services and embedding services, as RAGFlow relies on them to function.

When should I avoid deepfabric?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.

Is ragflow or deepfabric more popular on GitHub?

ragflow has more GitHub stars (84,818 vs 877). Stars measure visibility, not whether either tool fits your constraints.

Are ragflow and deepfabric open source?

Yes - both are open-source projects on GitHub (ragflow: Apache-2.0, deepfabric: Apache-2.0).

Where can I find alternatives to ragflow or deepfabric?

GraphCanon lists graph-backed alternatives at ragflow alternatives and deepfabric alternatives (ragflow markdown twin, deepfabric markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, ragflow or deepfabric?

ragflow: Very active. deepfabric: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for ragflow and deepfabric?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ragflow trust report; deepfabric trust report.