Comparison
search vs langchain_semantic_search
Verdict
Pick search if search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework; pick langchain_semantic_search if builds a FAISS index for semantic search over Google Drive files using LangChain, GPT3, Jupyter Notebook.
Markdown twin · search alternatives · langchain_semantic_search alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | search | langchain_semantic_search |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1320d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- search
- Go library for embedded vector search and semantic embeddings with llamacpp
- langchain_semantic_search
- Semantic search for Google Drive files using GPT3, LangChain, and Python
Stars
- search
- 559
- langchain_semantic_search
- 44
Forks
- search
- 24
- langchain_semantic_search
- 8
Open issues
- search
- 5
- langchain_semantic_search
- 0
Language
- search
- Go
- langchain_semantic_search
- Jupyter Notebook
Adopt for
- search
- search is a Go library enabling embedded vector search and semantic embeddings via the llama.cpp framework.
- langchain_semantic_search
- Builds a FAISS index for semantic search over Google Drive files using LangChain, GPT3, Jupyter Notebook.
Persona
- search
- -
- langchain_semantic_search
- -
Runtime
- search
- -
- langchain_semantic_search
- -
License
- search
- MIT
- langchain_semantic_search
- -
Last pushed
- search
- Sep 19, 2026
- langchain_semantic_search
- Feb 7, 2023
Categories
- search
- Data & Retrieval, Vector Databases
- langchain_semantic_search
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- search
- Very active (96%)
- langchain_semantic_search
- Dormant (18%)
Days since push
- search
- 0d
- langchain_semantic_search
- 1320d
Open issues (now)
- search
- 5
- langchain_semantic_search
- 0
Stars delta
- search
- +4 (30d)
- langchain_semantic_search
- 0 (30d)
Full report
- search
- Trust report
- langchain_semantic_search
- Trust report
Choose search if…
- search is primarily Go; langchain_semantic_search is Jupyter Notebook.
- Tags unique to search: ai, bert, embeddings, gguf.
- Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go
When NOT to use search
- Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities
- Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution
Choose langchain_semantic_search if…
- langchain_semantic_search is primarily Jupyter Notebook; search is Go.
- Tags unique to langchain_semantic_search: faiss, google drive, gpt3, langchain.
- Need semantic search capabilities specifically for your own documents in Google Drive
When NOT to use langchain_semantic_search
- Seeking a solution that supports large-scale, real-time or non-Google Drive document collections
- Require a fully integrated end-to-end service without configuration for drive paths
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kelindar/search) · observed Sep 20, 2026
- GitHub forks (kelindar/search) · observed Sep 20, 2026
- Last push (kelindar/search) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (venuv/langchain_semantic_search) · observed Sep 20, 2026
- GitHub forks (venuv/langchain_semantic_search) · observed Sep 20, 2026
- Last push (venuv/langchain_semantic_search) · observed Feb 7, 2023
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: search 559 · langchain_semantic_search 44 (synced Sep 20, 2026).
Common questions
- What is the difference between search and langchain_semantic_search?
- search: Go library for embedded vector search and semantic embeddings with llamacpp. langchain_semantic_search: Semantic search for Google Drive files using GPT3, LangChain, and Python. See the comparison table for live GitHub stats and shared categories.
- When should I choose search over langchain_semantic_search?
- Choose search over langchain_semantic_search when search is primarily Go; langchain_semantic_search is Jupyter Notebook; Tags unique to search: ai, bert, embeddings, gguf; Use for projects needing a lightweight, fast integration of semantic search capabilities within applications written in Go.
- When should I choose langchain_semantic_search over search?
- Choose langchain_semantic_search over search when langchain_semantic_search is primarily Jupyter Notebook; search is Go; Tags unique to langchain_semantic_search: faiss, google drive, gpt3, langchain; Need semantic search capabilities specifically for your own documents in Google Drive.
- When should I avoid search?
- Avoid if relying on out-of-the-box support beyond Go or requiring heavy customization that is not supported directly by llama.cpp's capabilities Not suitable when a more comprehensive database service with extensive querying and integration features is desired over an embedded solution
- When should I avoid langchain_semantic_search?
- Seeking a solution that supports large-scale, real-time or non-Google Drive document collections Require a fully integrated end-to-end service without configuration for drive paths
- Is search or langchain_semantic_search more popular on GitHub?
- search has more GitHub stars (559 vs 44). Stars measure visibility, not whether either tool fits your constraints.
- Are search and langchain_semantic_search open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to search or langchain_semantic_search?
- GraphCanon lists graph-backed alternatives at search alternatives and langchain_semantic_search alternatives (search markdown twin, langchain_semantic_search 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 langchain_semantic_search?
- search: Very active. langchain_semantic_search: 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 langchain_semantic_search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: search trust report; langchain_semantic_search trust report.