--- title: "Prompt-Engineering-Guide vs LangChain-Chinese-Getting-Started-Guide" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/dair-ai-prompt-engineering-guide-vs-liaokongvfx-langchain-chinese-getting-started-guide" tools: ["dair-ai-prompt-engineering-guide", "liaokongvfx-langchain-chinese-getting-started-guide"] --- # Prompt-Engineering-Guide vs LangChain-Chinese-Getting-Started-Guide *GraphCanon updated Jul 11, 2026* ## Verdict Pick Prompt-Engineering-Guide when tags unique to Prompt-Engineering-Guide: agent, agents, ai-agents, deep-learning; pick LangChain-Chinese-Getting-Started-Guide when tags unique to LangChain-Chinese-Getting-Started-Guide: aigc, langchain, openai, openai-api. [Prompt-Engineering-Guide](https://www.promptingguide.ai/) reports 76k GitHub stars, 8.4k forks, and 274 open issues, last pushed Mar 11, 2026. [LangChain-Chinese-Getting-Started-Guide](https://github.com/liaokongVFX/LangChain-Chinese-Getting-Started-Guide) has 9.1k stars, 711 forks, and 2 open issues, last pushed Apr 22, 2026. Figures are from public GitHub metadata via [Prompt-Engineering-Guide's repository](https://github.com/dair-ai/Prompt-Engineering-Guide) and [LangChain-Chinese-Getting-Started-Guide's repository](https://github.com/liaokongVFX/LangChain-Chinese-Getting-Started-Guide). | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [LangChain-Chinese-Getting-Started-Guide](/tools/liaokongvfx-langchain-chinese-getting-started-guide.md) | | --- | --- | --- | | Tagline | Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents | LangChain 的中文入门教程 | | Stars | 76,349 | 9,061 | | Forks | 8,361 | 711 | | Open issues | 274 | 2 | | Language | MDX | - | | Adopt for | Decision-critical facts for Prompt-Engineering-Guide | - | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Prompt-Engineering-Guide](/tools/dair-ai-prompt-engineering-guide.md) | [LangChain-Chinese-Getting-Started-Guide](/tools/liaokongvfx-langchain-chinese-getting-started-guide.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 121d | 79d | | Open issues (now) | 274 | 2 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/dair-ai-prompt-engineering-guide/trust.md) | [trust report](/tools/liaokongvfx-langchain-chinese-getting-started-guide/trust.md) | ## Decision facts: Prompt-Engineering-Guide - **Adopt for:** Decision-critical facts for Prompt-Engineering-Guide ## Choose when ### Choose Prompt-Engineering-Guide if… - Tags unique to Prompt-Engineering-Guide: agent, agents, ai-agents, deep-learning. - When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques. - More GitHub stars (76k vs 9.1k) - visibility, not fit. ### Choose LangChain-Chinese-Getting-Started-Guide if… - Tags unique to LangChain-Chinese-Getting-Started-Guide: aigc, langchain, openai, openai-api. - Also covers Vector Databases. - More recently updated (last pushed Apr 22, 2026). ## When NOT to use Prompt-Engineering-Guide - Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. - Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ## When NOT to use LangChain-Chinese-Getting-Started-Guide - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between Prompt-Engineering-Guide and LangChain-Chinese-Getting-Started-Guide? Prompt-Engineering-Guide: Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents. LangChain-Chinese-Getting-Started-Guide: LangChain 的中文入门教程. See the comparison table for live GitHub stats and shared categories. ### When should I choose Prompt-Engineering-Guide over LangChain-Chinese-Getting-Started-Guide? Choose Prompt-Engineering-Guide over LangChain-Chinese-Getting-Started-Guide when Tags unique to Prompt-Engineering-Guide: agent, agents, ai-agents, deep-learning; When you seek comprehensive documentation and educational materials specifically focused on the nuance of prompt engineering techniques; More GitHub stars (76k vs 9.1k) - visibility, not fit. ### When should I choose LangChain-Chinese-Getting-Started-Guide over Prompt-Engineering-Guide? Choose LangChain-Chinese-Getting-Started-Guide over Prompt-Engineering-Guide when Tags unique to LangChain-Chinese-Getting-Started-Guide: aigc, langchain, openai, openai-api; Also covers Vector Databases; More recently updated (last pushed Apr 22, 2026). ### When should I avoid Prompt-Engineering-Guide? Avoid using if your focus is entirely on deep-learning frameworks without a need for detailed instructions or examples related to prompt crafting. Not suitable when you require tools that go beyond guiding materials, such as custom prompts or direct software plugins provided by competitors focused more on practical implementation over learning. ### When should I avoid LangChain-Chinese-Getting-Started-Guide? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is Prompt-Engineering-Guide or LangChain-Chinese-Getting-Started-Guide more popular on GitHub? Prompt-Engineering-Guide has more GitHub stars (76,349 vs 9,061). Stars measure visibility, not whether either tool fits your constraints. ### Are Prompt-Engineering-Guide and LangChain-Chinese-Getting-Started-Guide open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Prompt-Engineering-Guide or LangChain-Chinese-Getting-Started-Guide? GraphCanon lists graph-backed alternatives at [Prompt-Engineering-Guide alternatives](/tools/dair-ai-prompt-engineering-guide/alternatives) and [LangChain-Chinese-Getting-Started-Guide alternatives](/tools/liaokongvfx-langchain-chinese-getting-started-guide/alternatives) ([Prompt-Engineering-Guide markdown twin](/tools/dair-ai-prompt-engineering-guide/alternatives.md), [LangChain-Chinese-Getting-Started-Guide markdown twin](/tools/liaokongvfx-langchain-chinese-getting-started-guide/alternatives.md)), 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](/compare/dair-ai-prompt-engineering-guide-vs-liaokongvfx-langchain-chinese-getting-started-guide.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Prompt-Engineering-Guide or LangChain-Chinese-Getting-Started-Guide? Prompt-Engineering-Guide: Slowing. LangChain-Chinese-Getting-Started-Guide: Steady. 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 Prompt-Engineering-Guide and LangChain-Chinese-Getting-Started-Guide? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Prompt-Engineering-Guide trust report](/tools/dair-ai-prompt-engineering-guide/trust); [LangChain-Chinese-Getting-Started-Guide trust report](/tools/liaokongvfx-langchain-chinese-getting-started-guide/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide`](/api/graphcanon/graph?tool=dair-ai-prompt-engineering-guide) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_