bug-bounty516
xss283
rce171
google161
facebook134
microsoft128
exploit121
account-takeover118
bragging-post117
malware117
cve96
privilege-escalation92
csrf87
open-source85
authentication-bypass83
stored-xss75
phishing70
access-control69
apple67
ai-agents66
web-security64
reflected-xss63
input-validation53
sql-injection51
writeup51
reverse-engineering49
cross-site-scripting49
ssrf49
defi48
smart-contract48
api-security47
ethereum45
dos44
information-disclosure44
privacy43
supply-chain42
tool42
browser40
cloudflare39
web-application39
web338
burp-suite37
lfi37
vulnerability-disclosure37
automation36
race-condition36
opinion36
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