✅ Local or Cloud LLM Hosting
Align your model deployment with data policies and performance goals.

✅ Custom Vector DB Locations
Store fragments and indexes where you need—on-prem or in the cloud.

✅ Hybrid AI Search Model
Enhance AI responses using semantic and keyword-matching techniques.

✅ Optimized LLM Input Management
Set limits on fragment size and volume to balance cost and quality.

✅ Run on Local GPUs
Use your own hardware to accelerate processing and reduce cloud dependency.

✅ Select Vectorization Engines
Pick the tools that best fit your language, performance, or terminology needs.

✅ Government-Compliant AI Deployment
Support local storage and on-prem AI where cloud use is restricted.

✅ Multi-Region AI Strategy
Keep data fragments in-region while using global LLM services.

✅ Legal & Medical Document AI
Select custom vectorizers that handle industry-specific vocabulary.

✅ High-Volume AI Cost Control
Throttle data input to LLMs to avoid runaway compute costs.