Home/Compare/search vs ChatGLM-6B

Comparison

search vs ChatGLM-6B

Verdict

Pick search when search is primarily Go; ChatGLM-6B is Python; pick ChatGLM-6B when chatGLM-6B is primarily Python; search is Go.

Markdown twin · search alternatives · ChatGLM-6B alternatives

GraphCanon updated today

search logo

search

kelindar/search

554pushed Mar 6, 2026
vs
ChatGLM-6B logo

ChatGLM-6B

zai-org/ChatGLM-6B

41kpushed Jun 27, 2024

Trust & integrity

SignalsearchChatGLM-6B
Maintenance
Slowing (126d since push)
As of today · github_public_v1
Dormant (744d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
75 low (75 low)
As of today · osv@v1

Tagline

search
Go library for embedded vector search and semantic embeddings using llama.cpp
ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

Stars

search
554
ChatGLM-6B
41k

Forks

search
24
ChatGLM-6B
5.1k

Open issues

search
5
ChatGLM-6B
609

Language

search
Go
ChatGLM-6B
Python

Adopt for

search
-
ChatGLM-6B
-

Persona

search
-
ChatGLM-6B
-

Runtime

search
-
ChatGLM-6B
-

License

search
MIT
ChatGLM-6B
Apache-2.0

Last pushed

search
Mar 6, 2026
ChatGLM-6B
Jun 27, 2024

Categories

search
Vector Databases, Inference & Serving
ChatGLM-6B
LLM Frameworks, Data & Retrieval, Vector Databases

Trust and health

Maintenance

search
Slowing (36%)
ChatGLM-6B
Dormant (18%)

Days since push

search
126d
ChatGLM-6B
744d

Open issues (now)

search
5
ChatGLM-6B
609

Owner type

search
User
ChatGLM-6B
Organization

Security scan

search
No lockfile
ChatGLM-6B
75 low (75 low)

Full report

ChatGLM-6B
Trust report

Choose search if…

  • search is primarily Go; ChatGLM-6B is Python.
  • License: search is MIT, ChatGLM-6B is Apache-2.0.
  • Tags unique to search: bert, embeddings, gpu, ai.
  • Also covers Inference & Serving.

When NOT to use search

  • Last GitHub push was 127 days ago (slowing maintenance, Mar 6, 2026). Validate activity before betting a new project on search.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
  • Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.

Choose ChatGLM-6B if…

  • ChatGLM-6B is primarily Python; search is Go.
  • License: ChatGLM-6B is Apache-2.0, search is MIT.
  • Tags unique to ChatGLM-6B: python.
  • Also covers LLM Frameworks, Data & Retrieval.

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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: search 554 · ChatGLM-6B 41k (synced Jul 11, 2026).

Common questions

What is the difference between search and ChatGLM-6B?
search: Go library for embedded vector search and semantic embeddings using llama.cpp. 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 search over ChatGLM-6B?
Choose search over ChatGLM-6B when search is primarily Go; ChatGLM-6B is Python; License: search is MIT, ChatGLM-6B is Apache-2.0; Tags unique to search: bert, embeddings, gpu, ai; Also covers Inference & Serving.
When should I choose ChatGLM-6B over search?
Choose ChatGLM-6B over search when ChatGLM-6B is primarily Python; search is Go; License: ChatGLM-6B is Apache-2.0, search is MIT; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks, Data & Retrieval.
When should I avoid search?
Last GitHub push was 127 days ago (slowing maintenance, Mar 6, 2026). Validate activity before betting a new project on search. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
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 search or ChatGLM-6B more popular on GitHub?
ChatGLM-6B has more GitHub stars (41,035 vs 554). Stars measure visibility, not whether either tool fits your constraints.
Are search and ChatGLM-6B open source?
Yes - both are open-source projects on GitHub (search: MIT, ChatGLM-6B: Apache-2.0).
Where can I find alternatives to search or ChatGLM-6B?
GraphCanon lists graph-backed alternatives at search alternatives and ChatGLM-6B alternatives (search markdown twin, ChatGLM-6B 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, search or ChatGLM-6B?
search: 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 search and ChatGLM-6B?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search trust report; ChatGLM-6B trust report.