Comparison
rag_api vs langchain_semantic_search
Verdict
Pick rag_api if key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration; pick langchain_semantic_search if builds a FAISS index for semantic search over Google Drive files using LangChain, GPT3, Jupyter Notebook.
Markdown twin · rag_api alternatives · langchain_semantic_search alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | rag_api | langchain_semantic_search |
|---|---|---|
| Maintenance | Steady (35d 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
- rag_api
- ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
- langchain_semantic_search
- Semantic search for Google Drive files using GPT3, LangChain, and Python
Stars
- rag_api
- 901
- langchain_semantic_search
- 44
Forks
- rag_api
- 404
- langchain_semantic_search
- 8
Open issues
- rag_api
- 45
- langchain_semantic_search
- 0
Language
- rag_api
- Python
- langchain_semantic_search
- Jupyter Notebook
Adopt for
- rag_api
- Key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration
- langchain_semantic_search
- Builds a FAISS index for semantic search over Google Drive files using LangChain, GPT3, Jupyter Notebook.
Persona
- rag_api
- -
- langchain_semantic_search
- -
Runtime
- rag_api
- -
- langchain_semantic_search
- -
License
- rag_api
- MIT
- langchain_semantic_search
- -
Last pushed
- rag_api
- Aug 15, 2026
- langchain_semantic_search
- Feb 7, 2023
Categories
- rag_api
- Data & Retrieval, Vector Databases
- langchain_semantic_search
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- rag_api
- Steady (60%)
- langchain_semantic_search
- Dormant (18%)
Days since push
- rag_api
- 35d
- langchain_semantic_search
- 1320d
Open issues (now)
- rag_api
- 45
- langchain_semantic_search
- 0
Stars delta
- rag_api
- +35 (30d)
- langchain_semantic_search
- 0 (30d)
Open issues delta
- rag_api
- -2 (30d)
- langchain_semantic_search
- 0 (30d)
Full report
- rag_api
- Trust report
- langchain_semantic_search
- Trust report
Shared compatibility
- Python · rag_api: Python runtime · langchain_semantic_search: Python runtime
Choose rag_api if…
- rag_api is primarily Python; langchain_semantic_search is Jupyter Notebook.
- Tags unique to rag_api: api, api-rest, embeddings, fastapi.
- rag_api ships Docker support for self-hosted deployment.
- When you need rapid integration of REST API services for Retrieval-Augmented Generation (RAG) with robust vector storage.
When NOT to use rag_api
- Avoid using if your project cannot leverage PostgreSQL/pgvector due to license or compatibility constraints.
- Not recommended for scenarios where high-level orchestration of multiple APIs and services is necessary without a direct need for FastAPI's simplicity.
Choose langchain_semantic_search if…
- langchain_semantic_search is primarily Jupyter Notebook; rag_api is Python.
- Tags unique to langchain_semantic_search: faiss, google drive, gpt3, semantic-search.
- 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 (danny-avila/rag_api) · observed Sep 20, 2026
- GitHub forks (danny-avila/rag_api) · observed Sep 20, 2026
- Last push (danny-avila/rag_api) · observed Aug 15, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 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: rag_api 901 · langchain_semantic_search 44 (synced Sep 20, 2026).
Common questions
- What is the difference between rag_api and langchain_semantic_search?
- rag_api: ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector. 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 rag_api over langchain_semantic_search?
- Choose rag_api over langchain_semantic_search when rag_api is primarily Python; langchain_semantic_search is Jupyter Notebook; Tags unique to rag_api: api, api-rest, embeddings, fastapi; rag_api ships Docker support for self-hosted deployment; When you need rapid integration of REST API services for Retrieval-Augmented Generation (RAG) with robust vector storage.
- When should I choose langchain_semantic_search over rag_api?
- Choose langchain_semantic_search over rag_api when langchain_semantic_search is primarily Jupyter Notebook; rag_api is Python; Tags unique to langchain_semantic_search: faiss, google drive, gpt3, semantic-search; Need semantic search capabilities specifically for your own documents in Google Drive.
- When should I avoid rag_api?
- Avoid using if your project cannot leverage PostgreSQL/pgvector due to license or compatibility constraints. Not recommended for scenarios where high-level orchestration of multiple APIs and services is necessary without a direct need for FastAPI's simplicity.
- 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 rag_api or langchain_semantic_search more popular on GitHub?
- rag_api has more GitHub stars (901 vs 44). Stars measure visibility, not whether either tool fits your constraints.
- Are rag_api and langchain_semantic_search open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to rag_api or langchain_semantic_search?
- GraphCanon lists graph-backed alternatives at rag_api alternatives and langchain_semantic_search alternatives (rag_api 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, rag_api or langchain_semantic_search?
- rag_api: Steady. 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 rag_api and langchain_semantic_search?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: rag_api trust report; langchain_semantic_search trust report.