Private Enterprise RAG & Vector Search in Hyderabad
Hyderabad is home to leading pharmaceutical conglomerates, healthcare networks, and global tech centers. We engineer private, sovereign RAG architectures and hybrid vector search engines that index proprietary internal knowledge bases with strict role-based access control and zero data leakage.
What we build for Hyderabad
Akshora AI Labs deploys private retrieval-augmented generation (RAG) inside your own VPC. Self-hosted Qdrant or Milvus vector clusters and quantized Llama 3 models let teams search engineering schematics, SOPs and internal knowledge with zero cloud egress, so no document content is sent to an external API.
- Self-hosted Qdrant or Milvus vector clusters
- Quantized Llama 3 models running locally
- Semantic search over engineering schematics and operational SOPs
- Deployment inside your private enterprise perimeter with zero external cloud API leakage
- Full Git repository transfer and architecture runbooks at handoff
Common questions from Hyderabad businesses
How do you protect proprietary research and patent documents in Hyderabad's pharma sector?
We deploy air-gapped or VPC-isolated embedding models and open-weight LLMs with Milvus or Qdrant vector databases. No data ever passes through third-party public AI APIs.
Can the vector search engine scale across millions of documents?
Yes, our RAG pipelines feature semantic chunking, reciprocal rank fusion combining BM25 and dense vector embeddings, and hierarchical re-ranking to deliver sub-second retrieval across large enterprise corpora.
Does any data leave our network with private RAG?
No. With Akshora AI Labs' private RAG, both the vector database and the language model run inside your VPC or on-prem perimeter, so there is zero cloud egress and no external API leakage.
Which vector database and language model do you use?
Akshora AI Labs uses self-hosted Qdrant or Milvus for vector search and quantized Llama 3 models, such as Llama 3 8B, for generation. The exact stack is chosen during discovery from your data volume and hardware.
Does this comply with Indian data localization laws?
Yes. Because the RAG system runs entirely inside your own VPC or on-premise servers, no sensitive corporate data ever leaves your network, ensuring full compliance with DPDP and corporate data governance.