- Custom Pipeline Engineering: Comprehensive support for data ingestion, indexing, chunking, and embedding to connect internal/external knowledge bases with LLM backends.
- Ready-to-Use Platforms: Integration with Vectoria, an enterprise-oriented conversational interface providing secure, chatbot-style access to internal documentation.
- Architectural Integration: Seamless coordination between retrieval mechanisms and generative models to ensure context-aware and accurate AI responses.
Key Value: Enabling organizations to leverage proprietary data for precise natural language interactions and secure access.
Practical example
Organizations with vast documentation require efficient ways to retrieve and synthesize information.
This service facilitates, among other activities:
- Customer Care Automation: Indexing FAQs and technical manuals to allow support pipelines to automatically resolve complex tickets based on precise customer history.
- Internal Policy Access: Deploying chatbots that offer employees instant, natural language access to company policies and procedures via Vectoria.
- Technical Log Synthesis: Implementing high-performance retrieval across technical logs and manuals using specialized tools like Haystack and FAISS.
Case Study: The service supports a telecom leader in indexing technical manuals and support logs, creating an automated pipeline that delivers precise solutions to technical staff, significantly reducing manual search time.
Download white paper
If you are evaluating a private chatbot or a RAG solution for your organisation but are unsure how to design it in a secure and sustainable way, download the white paper “Vectoria: a private and sustainable AI solution for enterprises”.
