NeuroRAG
Ground AI responses in your data with retrieval-augmented generation
Retrieval-augmented generation platform that powers intelligent chatbots and knowledge systems by grounding LLM responses in your actual data.
Trusted By Leading Organisations
NeuroRAG is the backbone of Neural AI’s conversational AI products and one of the most widely deployed components in the NeuroStack platform. It combines large language models with intelligent retrieval systems that search your proprietary data — documents, databases, websites, and knowledge bases — to generate responses that are accurate, cited, and grounded in fact rather than hallucination. Every major chatbot deployment and RAG solution we build is powered by NeuroRAG at its core.
How It Works
When a user asks a question, NeuroRAG first searches your indexed knowledge base using semantic similarity, keyword matching, and contextual re-ranking. The most relevant passages are then provided as context to the language model via NeuroIntelligence, which generates a natural-language answer with references to the source material. This approach ensures responses reflect your actual data rather than the model’s general training. For Maltese-language queries, NeuroMaltese handles bilingual understanding and response generation seamlessly.
Enterprise Knowledge Bases
NeuroRAG ingests documents in any format — PDFs, Word files, web pages, spreadsheets, database records — and builds a searchable vector index. NeuroDocument handles OCR for scanned materials, while NeuroScraper collects content from web sources automatically. Incremental updates keep the index current as your knowledge base evolves, with no downtime or full re-indexing required. The system scales from small knowledge bases of a few hundred documents to enterprise collections with millions of records.
Accuracy and Trust
Every NeuroRAG response includes source citations, confidence scores, and the ability to trace answers back to specific documents. For regulated industries such as financial services and government, this audit trail is essential for compliance and accountability. NeuroSummarisation can condense lengthy source passages into digestible summaries while maintaining citation integrity.
Proven at Scale
NeuroRAG powers chatbots for Ligi.ai’s legal research platform, the mySocialSecurity government portal, Browns supermarket customer service, and Climate Action’s environmental advisory tool. Each deployment handles thousands of queries daily with consistently high accuracy. When deployed with NeuroAgentic, NeuroRAG-powered systems can go beyond answering questions to actively executing tasks on behalf of users, creating truly autonomous AI assistants.
Multi-Channel Deployment
Through NeuroMessaging, NeuroRAG chatbots deploy across WhatsApp, Facebook Messenger, email, and web chat simultaneously. Through NeuroWeb, they integrate directly into WordPress, Shopify, and custom CMS platforms. This flexibility means your knowledge base is accessible wherever your users are, with consistent quality across every channel.
Deploy NeuroRAG in Your Organisation
Neural AI's NeuroRAG accelerates delivery, reduces cost, and integrates seamlessly with your existing systems. Let's discuss how it fits your workflow.
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Key Features
Semantic Search & Retrieval
NeuroRAG uses dense vector embeddings combined with sparse keyword matching and contextual re-ranking to find the most relevant passages from your knowledge base. The hybrid retrieval approach ensures both precise keyword matches and semantically similar content are surfaced, delivering comprehensive results even when users phrase questions in unexpected ways.
Multi-Source Knowledge Ingestion
Ingest documents from any format including PDFs, Word files, web pages, spreadsheets, database records, and API endpoints. NeuroRAG builds a unified searchable vector index across all sources with incremental updates that keep the index current as your knowledge base evolves, requiring no downtime or full re-indexing.
Source Citation & Audit Trail
Every response includes source citations with document references, page numbers, and confidence scores. Users can trace any answer back to the specific document and passage that informed it. For regulated industries like financial services and government, this complete audit trail meets compliance and accountability requirements.
Hallucination Prevention
NeuroRAG implements multiple guardrails against hallucination including retrieval confidence thresholds, answer grounding verification, and explicit uncertainty flagging when the knowledge base lacks sufficient information. The system refuses to speculate rather than generating plausible but incorrect answers, ensuring users can trust every response.
How NeuroRAG Works
Document Ingestion & Chunking
Your documents are processed, cleaned, and split into semantically meaningful chunks using intelligent boundary detection. Each chunk preserves context including document metadata, section headers, and surrounding content for accurate retrieval.
Vector Embedding & Indexing
Chunks are converted to dense vector embeddings using state-of-the-art embedding models. These vectors are stored in a high-performance vector database alongside the original text and metadata, creating a searchable knowledge index.
Query Processing & Retrieval
When a user asks a question, the query is embedded and matched against the knowledge index using hybrid search combining semantic similarity, keyword matching, and contextual re-ranking to find the most relevant passages.
LLM Response Generation
Retrieved passages are provided as context to a large language model, which generates a natural-language answer grounded in the source material. The response includes citations and confidence indicators so users can verify accuracy.
Continuous Learning & Updates
New documents are incrementally indexed without rebuilding the entire knowledge base. Usage analytics identify knowledge gaps, and feedback loops improve retrieval quality over time through re-ranking model fine-tuning.
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Document Ingestion & Chunking
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Use Cases
Build customer-facing chatbots that answer questions from your knowledge base accurately
Create internal knowledge assistants for employee onboarding and policy lookup
Power legal research tools that cite specific clauses and precedents
Enable government services chatbots that reference actual legislation and procedures
Deploy KYC onboarding assistants that guide users through compliance requirements
Industry Applications
See how this solution transforms operations across different sectors.
- • Powers legal research tools that search through legislation, case law, and regulatory guidance, enabling lawyers to find relevant precedents and draft documents faster with AI-cited references
- • Enables citizen-facing chatbots that accurately answer questions about government services, benefits, and procedures by referencing actual legislation and official documentation
- • Builds clinical knowledge assistants that reference medical guidelines, drug interactions, and treatment protocols, supporting healthcare professionals with evidence-based information retrieval
- • Powers compliance assistants and customer service tools that ground responses in actual regulatory requirements, product documentation, and policy details for financial institutions
- • Predictive models for player behaviour analysis, fraud detection, and personalised gaming experiences powered by machine learning
- • Machine learning models that detect suspicious transaction patterns and automate regulatory reporting workflows
- • Property valuation models, market trend prediction, and tenant risk assessment using AI and historical data
- • Demand forecasting, dynamic pricing, and personalised guest experience systems for hotels and tourism operators
- • Customer segmentation, demand forecasting, and inventory optimisation powered by machine learning algorithms
- • Adaptive learning platforms, student performance prediction, and curriculum optimisation through AI analysis
- • Network optimisation, churn prediction, and usage pattern analysis for telecoms operators
- • Predictive maintenance, quality control automation, and production line optimisation using AI
- • Claims prediction, risk assessment automation, and fraud detection models for insurance providers
- • Generative design optimisation, structural analysis, and project cost estimation using AI
- • Rapid ML prototyping and model development that gives startups a data-driven competitive advantage
- • Route optimisation, demand forecasting, and warehouse automation powered by machine learning
- • Threat detection, anomaly identification, and security incident prediction using AI models
Real deployments. Real results.
Ligi.ai - AI Legal Research Platform
Neural AI built Ligi.ai, a custom AI legal assistant for Maltese law firms that combines retrieval-augmented generation with deep knowledge of Maltese legislation. The system assists lawyers with document drafting, legal research across case law, and document review, reducing research time by over 70%.
70% reduction in legal research time
mySocialSecurity - Government Chatbot
Neural AI created an intelligent bilingual chatbot connecting to Malta social security systems, providing citizens with 24/7 Q&A guidance about their benefits, entitlements, and application processes in both English and Maltese.
24/7 bilingual citizen assistance
Read case study → AI ChatbotClimate Action - Environmental Advisory
Neural AI developed a publicly available chatbot for climate-related funding schemes in Malta, helping citizens and businesses discover and apply for environmental grants and sustainability programmes.
Automated funding scheme guidance
Read case study →Our AI and Machine Learning Tech Stack
Technologies
OpenAI 
Anthropic 
Pinecone 
Weaviate 
ChromaDB 
LangChain 
Python 
Node.js 
Docker 
AWS Solutions Powered by NeuroRAG
Our Build AI services that leverage NeuroRAG to deliver end-to-end solutions.
NeuroRAG FAQ
What types of documents can NeuroRAG ingest?
How does NeuroRAG prevent AI hallucinations?
Can NeuroRAG handle Maltese language content?
How quickly can NeuroRAG be deployed?
Does NeuroRAG support real-time knowledge updates?
What LLM models does NeuroRAG support?
How does NeuroRAG handle sensitive or confidential data?
What is the cost structure for NeuroRAG?
Start Your AI Journey
Contact Us
Reach out through our form or book a call to discuss your AI needs.
Get a Consultation
Our AI experts analyse your requirements and identify the best approach.
Receive a Proposal
We deliver a detailed proposal with timeline, deliverables, and investment.
Project Kickoff
We assemble your team and begin building your AI solution.
Contact Us
Reach out through our form or book a call to discuss your AI needs.
Get a Consultation
Our AI experts analyse your requirements and identify the best approach.
Receive a Proposal
We deliver a detailed proposal with timeline, deliverables, and investment.
Project Kickoff
We assemble your team and begin building your AI solution.
Ready to Deploy NeuroRAG?
Book a free consultation with our team to discuss how NeuroRAG can be integrated into your business workflows.
