Comparison
awesome-vector-search vs ChatGLM-6B
Verdict
Pick awesome-vector-search when license: awesome-vector-search is MIT, ChatGLM-6B is Apache-2.0; pick ChatGLM-6B when license: ChatGLM-6B is Apache-2.0, awesome-vector-search is MIT.
Markdown twin · awesome-vector-search alternatives · ChatGLM-6B alternatives
GraphCanon updated today
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Trust & integrity
| Signal | awesome-vector-search | ChatGLM-6B |
|---|---|---|
| Maintenance | Very active (5d since push) As of today · github_public_v1 | Dormant (744d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization 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
- awesome-vector-search
- Collections of vector search related libraries, service and research papers
- ChatGLM-6B
- ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Stars
- awesome-vector-search
- 1.6k
- ChatGLM-6B
- 41k
Forks
- awesome-vector-search
- 120
- ChatGLM-6B
- 5.1k
Open issues
- awesome-vector-search
- 10
- ChatGLM-6B
- 609
Language
- awesome-vector-search
- -
- ChatGLM-6B
- Python
Adopt for
- awesome-vector-search
- -
- ChatGLM-6B
- -
Persona
- awesome-vector-search
- -
- ChatGLM-6B
- -
Runtime
- awesome-vector-search
- -
- ChatGLM-6B
- -
License
- awesome-vector-search
- MIT
- ChatGLM-6B
- Apache-2.0
Last pushed
- awesome-vector-search
- Jul 6, 2026
- ChatGLM-6B
- Jun 27, 2024
Categories
- awesome-vector-search
- Vector Databases
- ChatGLM-6B
- Vector Databases, LLM Frameworks, Data & Retrieval
Trust and health
Maintenance
- awesome-vector-search
- Very active (96%)
- ChatGLM-6B
- Dormant (18%)
Days since push
- awesome-vector-search
- 5d
- ChatGLM-6B
- 744d
Open issues (now)
- awesome-vector-search
- 10
- ChatGLM-6B
- 609
Security scan
- awesome-vector-search
- No lockfile
- ChatGLM-6B
- 75 low (75 low)
Full report
- awesome-vector-search
- Trust report
- ChatGLM-6B
- Trust report
Choose awesome-vector-search if…
- License: awesome-vector-search is MIT, ChatGLM-6B is Apache-2.0.
- Tags unique to awesome-vector-search: awesome, similarity-search, knn-search, machine-learning.
- More recently updated (last pushed Jul 6, 2026).
When NOT to use awesome-vector-search
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose ChatGLM-6B if…
- License: ChatGLM-6B is Apache-2.0, awesome-vector-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.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (currentslab/awesome-vector-search) · observed Jul 11, 2026
- GitHub forks (currentslab/awesome-vector-search) · observed Jul 11, 2026
- Last push (currentslab/awesome-vector-search) · observed Jul 6, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- GitHub forks (zai-org/ChatGLM-6B) · observed Jul 11, 2026
- Last push (zai-org/ChatGLM-6B) · observed Jun 27, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-vector-search 1.6k · ChatGLM-6B 41k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-vector-search and ChatGLM-6B?
- awesome-vector-search: Collections of vector search related libraries, service and research papers. 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 awesome-vector-search over ChatGLM-6B?
- Choose awesome-vector-search over ChatGLM-6B when License: awesome-vector-search is MIT, ChatGLM-6B is Apache-2.0; Tags unique to awesome-vector-search: awesome, similarity-search, knn-search, machine-learning; More recently updated (last pushed Jul 6, 2026).
- When should I choose ChatGLM-6B over awesome-vector-search?
- Choose ChatGLM-6B over awesome-vector-search when License: ChatGLM-6B is Apache-2.0, awesome-vector-search is MIT; Tags unique to ChatGLM-6B: python; Also covers LLM Frameworks, Data & Retrieval.
- When should I avoid awesome-vector-search?
- 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. 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.
- Is awesome-vector-search or ChatGLM-6B more popular on GitHub?
- ChatGLM-6B has more GitHub stars (41,035 vs 1,572). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-vector-search and ChatGLM-6B open source?
- Yes - both are open-source projects on GitHub (awesome-vector-search: MIT, ChatGLM-6B: Apache-2.0).
- Where can I find alternatives to awesome-vector-search or ChatGLM-6B?
- GraphCanon lists graph-backed alternatives at awesome-vector-search alternatives and ChatGLM-6B alternatives (awesome-vector-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, awesome-vector-search or ChatGLM-6B?
- awesome-vector-search: Very active. 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 awesome-vector-search and ChatGLM-6B?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-vector-search trust report; ChatGLM-6B trust report.