AI Embeddings
Made Simple
Transform your data into high-quality vector embeddings using state-of-the-art open-weight models. One package, multiple models, infinite possibilities.
from ambade import Ambade
# Initialize client
client = Ambade("your-api-key")
# Generate embeddings
embeddings = client.embed(
model="sentence-transformers/all-MiniLM-L6-v2",
input="Your text data here")
# Use embeddings
print(embeddings.data[0].embedding)Supported Models
Choose from the best open-weight embedding models
all-MiniLM-L6-v2
Sentence Transformers
all-mpnet-base-v2
Sentence Transformers
e5-large-v2
Microsoft
bge-large-en-v1.5
BAAI
Built for Scale
Lightning Fast
Sub-100ms response times with global edge deployment and intelligent caching.
Batch Processing
Process thousands of documents simultaneously with our optimized batch endpoints.
Developer First
RESTful API, comprehensive SDKs, and detailed documentation for rapid integration.
Enterprise Security
HIPAA compliant with end-to-end encryption and zero data retention policies.
Real-time Analytics
Monitor usage, track performance, and optimize costs with detailed analytics.
Vector Integration
Direct integration with Pinecone, Weaviate, Qdrant, and other vector databases.
Trusted by Developers
ambade.ai's embedding API reduced our RAG pipeline latency by 60%. The model variety is incredible.
Alex Chen
ML Engineer, VectorCorp
Seamless integration with our vector database. The batch processing saved us thousands in compute costs.
Sarah Kim
AI Architect, DataFlow
Best embedding service for production. Reliable, fast, and the documentation is top-notch.
Marcus Johnson
CTO, SearchAI
Simple API Pricing
Pay only for what you use. No hidden fees.
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Join thousands of developers building the next generation of AI applications with ambade.ai embeddings.