ragflow
★ 92.7k
vs
crystalline
★ 17
ragflow vs crystalline
ragflow: RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that integrates RAG with Agent capabilities. It provides a superior context layer for LLMs and offers a streamlined RAG workflow adaptable to enterprises of any scale.; crystalline: Crystalline provides AI agents with crystallized intelligence, allowing them to accumulate and retain knowledge across sessions, unlike an LLM's fluid intelligence. It acts as a local search index on plain markdown files, enabling agents to onboard curated knowledge and capture new learnings, evolving from a stranger to a peer.
01
TL;DR
ragflowRAG / Knowledge Base · ★ 92.7k
When to choose:
- Your documents have complex layouts (PDFs, scanned files, tables, slides) and you need layout analysis, OCR, and traceable citations.
- You want an Apache-2.0 all-in-one RAG platform where you can inspect and hand-tune template-based chunks in a web UI.
When to skip:
- Your server has less than 4 CPU cores and 16 GB RAM; RAGFlow's multi-service stack is heavy.
- You want an autonomous web research agent that writes 2,000-word reports from live search rather than indexing a local document corpus; GPT Researcher fits better.
crystallineRAG / Knowledge Base · ★ 17
Onboard AI agents with curated domain-specific knowledge at the start of each session.
02
Side-by-Side Comparison
Field
ragflowcrystallineCategory
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 92.7k
★ 17
License
Apache-2.0
AGPL-3.0
Install Command
docker compose -f docker-compose.yml up -d
brew install jordiboehme/tap/crystalline && crystalline install claude-code && mkdir -p ~/knowledge/engineering && crystalline domain init ~/knowledge/engineering --name engineering && crystalline domain add engineering ~/knowledge/engineering
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
RAG, AI Agent, LLM
AI Agents, Knowledge Base, RAG
03
Features
ragflow01Deep document understanding for knowledge extraction from unstructured data.
02Intelligent and template-based chunking with explainable options.
03Grounded citations with reduced hallucinations and traceable references.
04Compatibility with heterogeneous data sources including documents, images, and web pages.
05Automated and effortless RAG workflow orchestration with configurable models and fused re-ranking.
crystalline01Structured knowledge organization using domains (folders) and engrams (markdown files).
02Hybrid search combining full-text and semantic ranking for efficient knowledge retrieval.
03Fluid web UI for human-agent collaboration, enabling reading, editing, and managing knowledge.
04Supports GitHub-based team collaboration with review workflows for shared knowledge.
05Knowledge graph and temporal filtering to understand relationships and time-bounded facts.
04
Use Cases
ragflow↳Building high-fidelity, production-ready AI systems with complex data.
↳Developing enterprise-scale knowledge base and intelligent Q&A chatbots.
↳Facilitating intelligent document processing and advanced information retrieval.
crystalline↳Onboard AI agents with curated domain-specific knowledge at the start of each session.
↳Enable AI agents to capture and persist new observations, decisions, and lessons learned from their work.
↳Facilitate team knowledge sharing and collaboration on a continually growing and evolving knowledge base.
↳Reduce redundancy and repeated explanations by providing agents with access to accumulated 'crystallized intelligence'.
↳Efficiently retrieve specific facts or context from a large collection of knowledge units based on task routing.
05
Best For
ragflowMost PopularEssentialTrending
crystalline—
FAQ
FAQ
What is the difference between ragflow and crystalline?
Both ragflow and crystalline are in the RAG / Knowledge Base category. ragflow has 92.7k stars, while crystalline has 17 stars.
Which is better, ragflow or crystalline?
The best choice depends on your use case. Choose ragflow if Building high-fidelity, production-ready AI systems with complex data., and crystalline if Onboard AI agents with curated domain-specific knowledge at the start of each session..
Is ragflow free or open source?
Yes, ragflow is open source on GitHub (Apache-2.0).
Is crystalline free or open source?
Yes, crystalline is open source on GitHub (AGPL-3.0).
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