RAG Knowledge Bases
Book a Free Discovery CallWhat Is RAG Knowledge Bases?
Key Benefits
Turn your company documents — policies, manuals, contracts, procedures — into a searchable knowledge base staff can query in plain English.
Answers are grounded in your actual documents, not generic internet knowledge. Reduces hallucinations and ensures accuracy.
Runs on your own infrastructure for full data sovereignty — ideal for legal, healthcare, finance and compliance-sensitive industries.
Dramatically reduces time spent searching for information. Staff get instant answers instead of trawling through folders and shared drives.
Consistent answers across your organisation — everyone queries the same verified knowledge base.
Integrates with chatbots, internal portals and workflow automation so knowledge flows into daily operations.
How It Works
- Discovery: identify your key document sets, compliance requirements and primary use cases.
- Document processing: extract, chunk and index your documents into vector embeddings for semantic search.
- System setup: deploy the RAG stack (vector database, LLM, retrieval pipeline) on your preferred infrastructure.
- Integration: connect the knowledge base to your chatbot, intranet or workflow tools.
- Testing and refinement: validate answer accuracy, tune retrieval parameters and gather staff feedback.
- Handover or managed service: train your team to maintain the system, or we manage it for you.
Related Services
Frequently Asked Questions
What is a RAG knowledge base?
RAG stands for Retrieval-Augmented Generation. It's a system that searches your company documents for relevant information, then uses AI to generate a clear answer from that retrieved content. The AI is grounded in your actual documents rather than its general training data.
How is RAG different from a regular search?
Traditional keyword search returns a list of documents. RAG understands the question in natural language, finds the most relevant passages across all your documents, and synthesises a direct answer — like having a knowledgeable colleague who's read everything.
Can RAG work with confidential documents?
Yes. NeuralOps deploys RAG systems on your own infrastructure — self-hosted servers or private cloud — so sensitive documents never leave your control. This is especially important for legal, healthcare and financial businesses.
What file formats does RAG support?
RAG systems can ingest PDFs, Word documents, spreadsheets, emails, web pages and plain text files. We handle the document processing pipeline so your team doesn't need to convert files manually.
How accurate are RAG answers?
RAG answers are grounded in your source documents and include citations so you can verify. Accuracy depends on document quality and system tuning — NeuralOps tests and refines the system before handover to ensure reliable results.
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