REPOGEO REPORT · LITE

currentslab/awesome-vector-search

Default branch main · commit c7aca618 · scanned 5/21/2026, 12:02:31 AM

GitHub: 1,562 stars · 116 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

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 currentslab/awesome-vector-search, 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.

OVERALL DIRECTION

highreadme#1

Reposition README H1 and opening sentence to clarify it's a list

Why:

CURRENT

## Awesome Vector Search Engine

> A curated list of awesome vector search framework/engine, library, cloud service and research papers to vector similarity search

COPY-PASTE FIX

## Awesome Vector Search: A Curated List

> A comprehensive, curated list of awesome vector search frameworks, engines, libraries, cloud services, and research papers for vector similarity search.

mediumhomepage#2
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://github.com/currentslab/awesome-vector-search
```

lowreadme#3

Add a 'What is this list for?' section to the README

Why:

COPY-PASTE FIX

### What is this list for?
This repository serves as a central hub for developers, researchers, and practitioners to explore, compare, and select various vector search technologies. Whether you're looking for open-source libraries, managed cloud services, or cutting-edge research, this list provides a structured overview to help you navigate the rapidly evolving vector search ecosystem.

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.

Recall

0 / 2

0% of queries surface currentslab/awesome-vector-search

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Milvus

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Milvus · recommended 1×
Qdrant · recommended 1×
Weaviate · recommended 1×
Faiss · recommended 1×
Vald · recommended 1×

CATEGORY QUERY
What are the best open-source vector search engines for large-scale AI applications?
you: not recommended
AI recommended (in order):
1. Milvus
2. Qdrant
3. Weaviate
4. Faiss
5. Vald
6. Chroma
AI recommended 6 alternatives but never named currentslab/awesome-vector-search. This is the gap to close.
Show full AI answer
CATEGORY QUERY
I need to compare different vector similarity search solutions; what options are available?
you: not recommended
AI recommended (in order):
1. Pinecone
2. Weaviate (weaviate/weaviate)
3. Qdrant (qdrant/qdrant)
4. Milvus (milvus-io/milvus)
5. Faiss (facebookresearch/faiss)
6. Chroma (chroma-core/chroma)
7. Vald (vdaas/vald)
AI recommended 7 alternatives but never named currentslab/awesome-vector-search. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

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 currentslab/awesome-vector-search?
pass
AI did not name currentslab/awesome-vector-search — 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 currentslab/awesome-vector-search in production, what risks or prerequisites should they evaluate first?
pass
AI named currentslab/awesome-vector-search 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 currentslab/awesome-vector-search solve, and who is the primary audience?
pass
AI did not name currentslab/awesome-vector-search — 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?

Embed your GEO score

Drop this badge into the README of currentslab/awesome-vector-search. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/currentslab/awesome-vector-search.svg)](https://repogeo.com/en/r/currentslab/awesome-vector-search)

HTML

<a href="https://repogeo.com/en/r/currentslab/awesome-vector-search"><img src="https://repogeo.com/badge/currentslab/awesome-vector-search.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

currentslab/awesome-vector-search — 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