Gemini Embedding 2 Implementation Partner — Bengaluru, India

We handle the full implementation lifecycle — from designing your multimodal embedding architecture, integrating with vector databases, building RAG and search pipelines, to deploying and monitoring in production. We work alongside your engineering team to ensure the solution fits your product requirements and scales with your growth.

A focused proof-of-concept (single use case like search or RAG) typically takes 3-4 weeks. A full production implementation with multiple modalities, custom indexing, and monitoring takes 8-12 weeks depending on data volume and integration complexity.

Yes. While our delivery team is based in Bengaluru, we work with companies across India and internationally. Our Bengaluru base provides timezone-aligned collaboration for Indian enterprises and cost-effective delivery for global clients.

Absolutely. We integrate with existing databases (PostgreSQL, MongoDB), cloud platforms (GCP, AWS, Azure), search systems (Elasticsearch, Algolia), and application frameworks (Next.js, FastAPI, Spring Boot). The embedding layer sits alongside your current infrastructure.

Gemini Embedding 2's key advantage is native multimodal support. If your data includes images, video, audio, or documents alongside text, you get a single unified vector space instead of stitching together multiple models. For text-only use cases, the choice depends on benchmarks specific to your domain — we help you evaluate and choose the right model.