Challenge
The client’s information was primarily stored in unstructured PDF documents. Standard semantic search had difficulty handling telecom-specific terminology, where accurate keyword matching was particularly important. The client also required strict data sovereignty and could not rely on third-party cloud vector databases. In addition, safeguards were needed to minimize unsupported responses and LLM hallucinations.
The client’s information was primarily stored in unstructured PDF documents. Standard semantic search had difficulty handling telecom-specific terminology, where accurate keyword matching was particularly important. The client also required strict data sovereignty and could not rely on third-party cloud vector databases. In addition, safeguards were needed to minimize unsupported responses and LLM hallucinations.
Solution
Vivasoft developed Tiger Agent as a production-grade RAG platform built to address these requirements. The solution uses a self-hosted Weaviate hybrid search pipeline that combines semantic search with BM25 keyword matching.
- Automated Ingestion: Developed a custom document pipeline to parse, divide, and embed complex mixed-format files for efficient information retrieval.
- Context-Aware Routing: Implemented query rewriting and a three-tier fallback mechanism to improve response handling and prevent unsupported AI-generated answers.
- Total Data Sovereignty: Containerized and self-hosted the complete backend, along with a React admin dashboard and an embeddable chat widget to support enterprise deployment.
Vivasoft developed Tiger Agent as a production-grade RAG platform built to address these requirements. The solution uses a self-hosted Weaviate hybrid search pipeline that combines semantic search with BM25 keyword matching.
- Automated Ingestion: Developed a custom document pipeline to parse, divide, and embed complex mixed-format files for efficient information retrieval.
- Context-Aware Routing: Implemented query rewriting and a three-tier fallback mechanism to improve response handling and prevent unsupported AI-generated answers.
- Total Data Sovereignty: Containerized and self-hosted the complete backend, along with a React admin dashboard and an embeddable chat widget to support enterprise deployment.
Results
Tiger Agent achieved 92–96% retrieval precision and processed more than 42,500 enterprise queries. The platform delivered 100% data sovereignty and removed the expensive per-seat licensing costs associated with commercial alternatives.
Tiger Agent achieved 92–96% retrieval precision and processed more than 42,500 enterprise queries. The platform delivered 100% data sovereignty and removed the expensive per-seat licensing costs associated with commercial alternatives.