REPOGEO REPORT · LITE
asg017/sqlite-vec
Default branch main · commit 04d28bd2 · scanned 5/23/2026, 11:41:13 PM
GitHub: 7,632 stars · 318 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface asg017/sqlite-vec, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Strengthen README opening to explicitly state core use cases
Why:
CURRENTAn extremely small, "fast enough" vector search SQLite extension that runs anywhere! A successor to `sqlite-vss`
COPY-PASTE FIXAn extremely small, "fast enough" vector search SQLite extension that runs anywhere, ideal for embedded vector databases in local AI applications without external dependencies. A successor to `sqlite-vss`
- highhomepage#2Add a homepage URL to the repository settings
Why:
COPY-PASTE FIXhttps://github.com/asg017/sqlite-vec
- mediumtopics#3Expand repository topics to include key use cases and technologies
Why:
CURRENTsqlite, sqlite-extension
COPY-PASTE FIXsqlite, sqlite-extension, vector-search, embedded-database, local-ai, vector-database, hnsw
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- LanceDB · recommended 2×
- Hnswlib · recommended 2×
- Vellum · recommended 1×
- pg_embedding · recommended 1×
- DuckDB · recommended 1×
- CATEGORY QUERYHow can I add vector search capabilities directly into my existing SQLite database?you: not recommendedAI recommended (in order):
- Vellum
- LanceDB
- pg_embedding
- DuckDB
- Faiss
- Hnswlib
AI recommended 6 alternatives but never named asg017/sqlite-vec. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat's a good embedded vector database solution for local AI applications without external dependencies?you: not recommendedAI recommended (in order):
- Chroma
- LanceDB
- FAISS
- Hnswlib
- Milvus Lite
AI recommended 5 alternatives but never named asg017/sqlite-vec. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of asg017/sqlite-vec?passAI did not name asg017/sqlite-vec — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts asg017/sqlite-vec in production, what risks or prerequisites should they evaluate first?passAI named asg017/sqlite-vec explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo asg017/sqlite-vec solve, and who is the primary audience?passAI named asg017/sqlite-vec explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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asg017/sqlite-vec — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite