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asg017
sqlite-vec
C2024–2026
asg017 / sqlite-vec

sqlite-vec

A vector search SQLite extension that runs anywhere!

Data & DatabasesSearch & Information Retrieval
Explore on GitHubRead Hacker News discussions
17Distinct people
22Mentions
0Explicit recommenders
8.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A vector search SQLite extension that runs anywhere!

GitHub

Where it is used

No documented product use was verified in the last source check.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 2:17:07 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month22 dated mentions

Observed mentions: 2024-05-03 04:15:56 UTC to 2026-10-16 10:37:30 UTC.

012342024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 commentsMay 20242024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 4 mentions; 2 submissions, 2 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-12-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-01-01 00:00:00 UTC to 2025-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-02-01 00:00:00 UTC to 2025-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-03-01 00:00:00 UTC to 2025-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-04-01 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-05-01 00:00:00 UTC to 2025-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-06-01 00:00:00 UTC to 2025-07-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments2025-07-01 00:00:00 UTC to 2025-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 20252025-08-01 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-09-01 00:00:00 UTC to 2025-10-01 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 comments2025-10-01 00:00:00 UTC to 2025-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-11-01 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-01 00:00:00 UTC to 2026-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-01-01 00:00:00 UTC to 2026-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-02-01 00:00:00 UTC to 2026-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-03-01 00:00:00 UTC to 2026-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-04-01 00:00:00 UTC to 2026-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-05-01 00:00:00 UTC to 2026-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-06-01 00:00:00 UTC to 2026-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-07-01 00:00:00 UTC to 2026-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-08-01 00:00:00 UTC to 2026-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-09-01 00:00:00 UTC to 2026-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2026-10-01 00:00:00 UTC to 2026-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 2026

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC303
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC110
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC110
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC422
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC101
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC000
Dec 20242024-12-01 00:00:00 UTC2025-01-01 00:00:00 UTC000
Jan 20252025-01-01 00:00:00 UTC2025-02-01 00:00:00 UTC000
Feb 20252025-02-01 00:00:00 UTC2025-03-01 00:00:00 UTC000
Mar 20252025-03-01 00:00:00 UTC2025-04-01 00:00:00 UTC101
Apr 20252025-04-01 00:00:00 UTC2025-05-01 00:00:00 UTC101
May 20252025-05-01 00:00:00 UTC2025-06-01 00:00:00 UTC101
Jun 20252025-06-01 00:00:00 UTC2025-07-01 00:00:00 UTC321
Jul 20252025-07-01 00:00:00 UTC2025-08-01 00:00:00 UTC000
Aug 20252025-08-01 00:00:00 UTC2025-09-01 00:00:00 UTC101
Sep 20252025-09-01 00:00:00 UTC2025-10-01 00:00:00 UTC303
Oct 20252025-10-01 00:00:00 UTC2025-11-01 00:00:00 UTC000
Nov 20252025-11-01 00:00:00 UTC2025-12-01 00:00:00 UTC000
Dec 20252025-12-01 00:00:00 UTC2026-01-01 00:00:00 UTC000
Jan 20262026-01-01 00:00:00 UTC2026-02-01 00:00:00 UTC000
Feb 20262026-02-01 00:00:00 UTC2026-03-01 00:00:00 UTC101
Mar 20262026-03-01 00:00:00 UTC2026-04-01 00:00:00 UTC000
Apr 20262026-04-01 00:00:00 UTC2026-05-01 00:00:00 UTC000
May 20262026-05-01 00:00:00 UTC2026-06-01 00:00:00 UTC000
Jun 20262026-06-01 00:00:00 UTC2026-07-01 00:00:00 UTC000
Jul 20262026-07-01 00:00:00 UTC2026-08-01 00:00:00 UTC000
Aug 20262026-08-01 00:00:00 UTC2026-09-01 00:00:00 UTC000
Sep 20262026-09-01 00:00:00 UTC2026-10-01 00:00:00 UTC000
Oct 20262026-10-01 00:00:00 UTC2026-11-01 00:00:00 UTC101

What Hacker News says

3 sources
sean_pedersen·Jun 25, 2025Submission

Show HN: Digger Solo – Semantic Search and Maps for Local Files

Hey, I am Sean and I built Digger Solo - a privacy respecting file explorer from the "future". The core features are semantic file search and interactive data maps allowing to explore your files with ease. All processing happens locally - your files never leave your machine. The file search works by combining full text search with semantic search allowing to search for content of text and image files by their meaning / content (even if the image has no descriptive file name). You can start a search query using a tag e.g. "#jpg cat" to search all your jpg files for cats. Files are clustered by content similarity in interactive maps that reveal hidden connections and patterns across your collection (text, image, video & audio files supported). Tags are inferred from imported file paths and file types. Technicalities: Digger Solo is quite a
Read the rest
complex beast: I am using PyTauri (https://github.com/pytauri/pytauri - Python bindings for Tauri). Python is used to import files, run the dimensionality reduction algorithms (t-SNE, UMAP etc.) and for most database logic (using SQLite3). The CLIP model (JINA CLIP v1) runs as ONNX model using the Rust crate ORT (https://ort.pyke.io/) - inference supports right now only CPU. The semantic search is powered by the SQLite3 extension https://github.com/asg017/sqlite-vec which just adds support for optimized brute-force based nearest neighbor vector search (no approximate vector index). So Digger Solo is not meant for millions of files, more like a few 100 thousands. Happy to answer questions!
2 points · Open discussion
sean_pedersen·Jun 17, 2025Submission

Show HN: Digger Solo – Semantic File Search and Maps

I built Digger Solo a privacy respecting file explorer from the future. The core features are semantic file search and interactive data maps allowing to explore your files with ease. All processing happens locally - your files never leave your machine. The file search works by combining full text search with semantic search allowing to search for content of text and image files by their meaning / content (even if the image has no descriptive file name). You can start a search query using a tag e.g. "#jpg cat" to search all your jpg files for cats. Files are sorted by content similarity in interactive maps that reveal hidden connections and patterns across your collection (text, image, video & audio files supported). Tags are inferred from imported file paths and file types. Technicalities: Digger Solo is quite a complex beast: I am using
Read the rest
PyTauri (https://github.com/pytauri/pytauri - Python bindings for Tauri with a Rust backend with JS frontend). Python is used to import files, run the dimensionality reduction algorithms (t-SNE, UMAP etc.) and for most database logic (using SQLite3). The CLIP model (JINA CLIP v1) runs as ONNX model using the Rust crate ORT (https://ort.pyke.io/) - inference supports right now only CPU. The semantic search is powered by the SQLite3 extension https://github.com/asg017/sqlite-vec which just adds support for optimized brute-force based nearest neighbor vector search (no approximate vector index). So Digger Solo is not meant for millions of files, more like a few 100 thousands. The installer contains all model files used (text, vision and audio encoders) that is why the download size is so big - I did not want to have additional downloads after installation. The Windows version had problems running the Python modules reliably for some customers (working on a fix). So I recommend trying the free version first and see if file importing works before purchasing a key.
1 points · Open discussion

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