Build secure, explainable
generative AI applications
Reduce hallucination and make conversational apps more reliable, without compromising data privacy.
RAG with YAKKAY
Retrieval-Augmented Generation (RAG) empowers LLMs with external knowledge bases to improve accuracy and relevance. YAKKAY's architecture allows you to scale effortlessly while keeping your data securely isolated within your own environment, ensuring that your GenAI apps are always fed with the most relevant and timely data.
Keep data safe within your own environment
YAKKAY can be self-hosted or we can securely manage it for you within your own VPC environment.
Quickly integrate and test different LLMs
Connect to different LLMs with a single line of code to see exactly what works best for your use case.
Serve the best answers to your users
Retrieve accurate and contextual answers in milliseconds using hybrid search under the hood.
Advanced RAG Techniques
A guide to help improve the performance of your Retrieval-Augmented Generation applications.
Advanced RAG Techniques
Master semantic search, chunking strategies, and hybrid retrieval for enterprise AI.
