Comparison
aquila vs rag_api
Verdict
Pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches; pick rag_api if key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration.
Markdown twin · aquila alternatives · rag_api alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | aquila | rag_api |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 3w · github_public_v1 | Very active (6d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- aquila
- Efficient Neural Search Engine
- rag_api
- ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
Stars
- aquila
- 379
- rag_api
- 885
Forks
- aquila
- 26
- rag_api
- 387
Open issues
- aquila
- 13
- rag_api
- 44
Language
- aquila
- HTML
- rag_api
- Python
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- rag_api
- Key Insights for Using rag_api as an ID-based RAG FastAPI Tool with Langchain and PostgreSQL/pgvector Integration
Persona
- aquila
- -
- rag_api
- -
Runtime
- aquila
- -
- rag_api
- -
License
- aquila
- -
- rag_api
- MIT
Last pushed
- aquila
- May 6, 2024
- rag_api
- Aug 15, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- rag_api
- Data & Retrieval, Vector Databases
Trust and health
Maintenance
- aquila
- Dormant (18%)
- rag_api
- Very active (96%)
Days since push
- aquila
- 817d
- rag_api
- 6d
Open issues (now)
- aquila
- 13
- rag_api
- 44
Stars delta
- aquila
- Unknown
- rag_api
- +19 (30d)
Open issues delta
- aquila
- Unknown
- rag_api
- -3 (30d)
Owner type
- aquila
- Organization
- rag_api
- User
Full report
- aquila
- Trust report
- rag_api
- Trust report
Choose aquila if…
- aquila is primarily HTML; rag_api is Python.
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary
When NOT to use aquila
- If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration
- In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
Choose rag_api if…
- rag_api is primarily Python; aquila is HTML.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Aquila-Network/aquila) · observed Aug 2, 2026
- GitHub forks (Aquila-Network/aquila) · observed Aug 2, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (danny-avila/rag_api) · observed Aug 21, 2026
- GitHub forks (danny-avila/rag_api) · observed Aug 21, 2026
- Last push (danny-avila/rag_api) · observed Aug 15, 2026
- License file (MIT) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · rag_api 885 (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and rag_api?
- aquila: Efficient Neural Search Engine. rag_api: ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector. See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over rag_api?
- Choose aquila over rag_api when aquila is primarily HTML; rag_api is Python; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary.
- When should I choose rag_api over aquila?
- Choose rag_api over aquila when rag_api is primarily Python; aquila is HTML; 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 avoid aquila?
- If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
- 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.
- Is aquila or rag_api more popular on GitHub?
- rag_api has more GitHub stars (885 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and rag_api open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or rag_api?
- GraphCanon lists graph-backed alternatives at aquila alternatives and rag_api alternatives (aquila markdown twin, rag_api 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, aquila or rag_api?
- aquila: Dormant. rag_api: Very active. 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 aquila and rag_api?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; rag_api trust report.