Open Source
AquilaDB
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Our verdict
We have not reviewed AquilaDB yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About AquilaDB
AquilaDB is an open source neural search engine that indexes latent vectors alongside JSON metadata. It performs efficient k-nearest neighbor search on these vectors. The tool is designed to be easy to use and is maintained by the community.
Best for
Developers needing quick vector search with JSON metadata for small to medium datasets.
Use cases
- Perform vector similarity search on embedding outputs from machine learning models.
- Filter and retrieve items by combining vector proximity with JSON metadata constraints.
- Build a lightweight backend for neural search applications where rapid prototyping is needed.
Notes
380 stars on GitHub. Last updated 2024-05-06.
Pros
- Simple setup and usage for basic vector search tasks.
- Supports combined search over vectors and JSON metadata.
- Open source with no licensing costs.
Cons
- Low community engagement with only 380 stars, suggesting limited adoption and support.
- Written primarily in HTML, which may indicate a thin client rather than a robust server-side engine.
- Likely lacks advanced features found in more mature vector databases like scalability or distributed search.
Key facts
What we have checked
- GitHub stars
- 379
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How AquilaDB is growing
380 to 379
Alternatives
Alternatives to AquilaDB
| Record | Type | How we know | Checked |
|---|---|---|---|
| ChromaThis is an alternative to it | Open source | Named in the listing | Not dated |
| MilvusThis is an alternative to it | Open source | Named in the listing | Not dated |
| pgvectorThis is an alternative to it | Open source | Named in the listing | Not dated |
| QdrantThis is an alternative to it | Open source | Named in the listing | Not dated |
| WeaviateThis is an alternative to it | Open source | Named in the listing | Not dated |
Compare
Compare AquilaDB side by side
Sources
Where this comes from
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
Chroma
Community
Search infrastructure for AI
Milvus
Community
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
pgvector
Community
Open-source vector similarity search for Postgres
Qdrant
Community
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Weaviate
Community
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance an
Get the free Developer’s Field Guide
A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.
Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.