--- title: "what_are_embeddings vs ChatGLM-6B" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/veekaybee-what-are-embeddings-vs-zai-org-chatglm-6b" tools: ["veekaybee-what-are-embeddings", "zai-org-chatglm-6b"] --- # what_are_embeddings vs ChatGLM-6B *GraphCanon updated Jul 11, 2026* ## Verdict Pick what_are_embeddings when what_are_embeddings is primarily Jupyter Notebook; ChatGLM-6B is Python; pick ChatGLM-6B when chatGLM-6B is primarily Python; what_are_embeddings is Jupyter Notebook. [what_are_embeddings](http://vickiboykis.com/what_are_embeddings/) reports 1.1k GitHub stars, 87 forks, and 0 open issues, last pushed Jan 17, 2026. [ChatGLM-6B](https://github.com/zai-org/ChatGLM-6B) has 41k stars, 5.1k forks, and 609 open issues, last pushed Jun 27, 2024. Figures are from public GitHub metadata via [what_are_embeddings's repository](https://github.com/veekaybee/what_are_embeddings) and [ChatGLM-6B's repository](https://github.com/zai-org/ChatGLM-6B). | | [what_are_embeddings](/tools/veekaybee-what-are-embeddings.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Tagline | A deep dive into embeddings starting from fundamentals | ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型 | | Stars | 1,091 | 41,035 | | Forks | 87 | 5,132 | | Open issues | 0 | 609 | | Language | Jupyter Notebook | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | - | Apache-2.0 | | Categories | Vector Databases | LLM Frameworks, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [what_are_embeddings](/tools/veekaybee-what-are-embeddings.md) | [ChatGLM-6B](/tools/zai-org-chatglm-6b.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Dormant (18%) | | Days since push | 175d | 744d | | Open issues (now) | 0 | 609 | | Owner type | User | Organization | | Security scan | No lockfile | 75 low (75 low) | | Full report | [trust report](/tools/veekaybee-what-are-embeddings/trust.md) | [trust report](/tools/zai-org-chatglm-6b/trust.md) | ## Choose when ### Choose what_are_embeddings if… - what_are_embeddings is primarily Jupyter Notebook; ChatGLM-6B is Python. - Tags unique to what_are_embeddings: embeddings, machine-learning-algorithms, machine-learning, jupyter notebook. - More recently updated (last pushed Jan 17, 2026). ### Choose ChatGLM-6B if… - ChatGLM-6B is primarily Python; what_are_embeddings is Jupyter Notebook. - Tags unique to ChatGLM-6B: python. - Also covers LLM Frameworks, Data & Retrieval. ## When NOT to use what_are_embeddings - Last GitHub push was 176 days ago (slowing maintenance, Jan 17, 2026). Validate activity before betting a new project on what_are_embeddings. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use ChatGLM-6B - Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - 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 what_are_embeddings and ChatGLM-6B? what_are_embeddings: A deep dive into embeddings starting from fundamentals. ChatGLM-6B: ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型. See the comparison table for live GitHub stats and shared categories. ### When should I choose what_are_embeddings over ChatGLM-6B? Choose what_are_embeddings over ChatGLM-6B when what_are_embeddings is primarily Jupyter Notebook; ChatGLM-6B is Python; Tags unique to what_are_embeddings: embeddings, machine-learning-algorithms, machine-learning, jupyter notebook; More recently updated (last pushed Jan 17, 2026). ### When should I choose ChatGLM-6B over what_are_embeddings? Choose ChatGLM-6B over what_are_embeddings when ChatGLM-6B is primarily Python; what_are_embeddings is Jupyter Notebook; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks, Data & Retrieval. ### When should I avoid what_are_embeddings? Last GitHub push was 176 days ago (slowing maintenance, Jan 17, 2026). Validate activity before betting a new project on what_are_embeddings. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid ChatGLM-6B? Last GitHub push was 745 days ago (dormant maintenance, Jun 27, 2024). Validate activity before betting a new project on ChatGLM-6B. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is what_are_embeddings or ChatGLM-6B more popular on GitHub? ChatGLM-6B has more GitHub stars (41,035 vs 1,091). Stars measure visibility, not whether either tool fits your constraints. ### Are what_are_embeddings and ChatGLM-6B open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to what_are_embeddings or ChatGLM-6B? GraphCanon lists graph-backed alternatives at [what_are_embeddings alternatives](/tools/veekaybee-what-are-embeddings/alternatives) and [ChatGLM-6B alternatives](/tools/zai-org-chatglm-6b/alternatives) ([what_are_embeddings markdown twin](/tools/veekaybee-what-are-embeddings/alternatives.md), [ChatGLM-6B markdown twin](/tools/zai-org-chatglm-6b/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/veekaybee-what-are-embeddings-vs-zai-org-chatglm-6b.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, what_are_embeddings or ChatGLM-6B? what_are_embeddings: Slowing. ChatGLM-6B: Dormant. 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 what_are_embeddings and ChatGLM-6B? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [what_are_embeddings trust report](/tools/veekaybee-what-are-embeddings/trust); [ChatGLM-6B trust report](/tools/zai-org-chatglm-6b/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=veekaybee-what-are-embeddings`](/api/graphcanon/graph?tool=veekaybee-what-are-embeddings) - 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/_