bug-bounty515
xss283
rce169
google155
facebook131
microsoft123
exploit120
account-takeover118
bragging-post117
malware116
cve96
privilege-escalation92
open-source88
csrf87
authentication-bypass83
stored-xss75
phishing70
access-control69
ai-agents66
web-security64
reflected-xss63
apple59
input-validation53
reverse-engineering51
sql-injection51
writeup51
ssrf49
cross-site-scripting49
smart-contract48
defi48
api-security47
ethereum45
dos44
information-disclosure44
tool43
privacy43
supply-chain41
browser40
web-application39
cloudflare39
vulnerability-disclosure37
lfi37
web337
burp-suite37
race-condition36
opinion36
automation36
ai-security36
llm35
responsible-disclosure34
0
1/10
product-announcement
Google released Gemini Embedding 2, a natively multimodal embedding model that maps text, images, video, audio, and documents into a unified embedding space for RAG, semantic search, and classification tasks. The model supports flexible output dimensions via Matryoshka Representation Learning and integrates with multiple vector database and AI frameworks.
machine-learning
embedding-model
multimodal-ai
google-gemini
vector-search
rag
semantic-search
nlp
computer-vision
audio-processing
Gemini Embedding 2
Google DeepMind
Gemini API
Vertex AI
LangChain
LlamaIndex
Haystack
Weaviate
QDrant
ChromaDB
Vector Search