Enterprise RAG
(Retrieval Augmented Generation)
Need an AI solution that delivers real-time, contextually accurate answers? Enterprise RAG is your answer. Kama’s Retrieval Augmented Generation technology combines the best of LLM and Graph AI technologies. This powerful fusion gives you exact answers sourced from pre-approved data.
Eliminate the risk of hallucinations and inaccuracies found in other AI systems. If kama’s Enterprise RAG doesn’t know the answer from your organization’s knowledge base then it’s flagged for a human supervisor. It’s human-in-the-loop at it’s best. No guesses! No fabricated answers!
Keep Your Brand Safe
Benefits of kama’s Enterprise RAG Solution
Protects Brand Integrity:
Ensure every AI interaction upholds your brand’s reputation with accurate, trusted, and bias-free responses.
Enhances Trust
Eliminates risks of hallucinations and misinformation by ensuring responses are based solely on pre-approved and trusted data.
Accurate, Real-Time Answers
Delivers contextually relevant and precise responses immediately, improving customer and employee satisfaction.
Boosts Efficiency
Frees up human resources by enabling virtual agents to resolve complex queries, reducing manual intervention and workload.
Improves Business Continuity
Ensures your AI systems are always available, providing consistent, accurate information even during high-demand periods.
Reduces Operational Costs
Cuts costs by automating tasks that normally need human oversight, leading to significant savings in time and resources.
‘Governed in Advance’ Conversational AI
Governed in Advance: Reduces Your Risk
With kama’s Enterprise RAG solution, your business stays safe by ensuring only authorized, truthful information is delivered to your customers and employees. Knowledge managers have full control, using Graph AI technology that uses retrieval augmented generation to address unanswered questions or manage user feedback. Virtual agent controlled graph conversations are perfect for handling FAQs. They also excel at integrating with robotic process automation systems and live agents. All this while maintaining accuracy.
Kama’s system prioritizes emotionally intelligent responses, ensuring human-like, contextual clarifications. This powerful solution reduces the risk of errors, data poisoning, and bias while keeping your brand’s reputation intact. Experience peace of mind knowing your virtual agents deliver on-brand, reliable answers every time.
Full Knowledge Admin. Control
Kama’s Enterprise RAG solution now includes full Knowledge Administration Control capabilities. This allows knowledge administrators to easily manage the documents within a collection. A collection being a curated set of pre-approved documents and data sources that a virtual agent accesses to generate responses. Using collection libraries ensures accuracy and brand alignment.
With kama’s new intuitive GUI, administrators can control exactly which resources the virtual agent references when answering customer or employee inquiries. This makes sure the virtual agent pulls information only from trusted, pre-approved sources. Doing so eliminates risks from data poisoning, hallucinations, and negative biases. With a human-in-the-loop, you maintain full confidence that every answer aligns with your brand’s values.
Keep all your interactions on-point and safeguard your brand reputation.
Your Sleep Easy Solution
Enterprise RAG lets you sleep easy at night. Kama gives you an intuitive and easy to use knowledge collection control panel, and a human-in-the-loop to choose the sanctioned referenceable documents. With these you know your virtual agent won’t mislead your customers or internal stakeholders. Kama’s Graph AI technology makes sure your answers are based on your collection of pre-sanctioned, trustworthy documents. All pre-approved, and on-brand.
With Enterprise RAG, your AI virtual agents become reliable and trustworthy, confidently handling complex requests. Your brand is protected with no hallucinations, negative biases, nor the concern about comments based on poisoned data.
Need unparalleled accuracy and business continuity? Then kama’s Enterprise RAG (Retrieval Augmented Generation) is your only solution. Perfect for organizations that demand precision, reliability, and results.
Unseen Risk: When AI Goes Rogue
Imagine this: A large financial services company, eager to streamline customer interactions, decides to integrate a large language model (LLM) with its customer-facing chatbot. Not a bad idea. The intention is to improve response times, by answering customer question on the spot to improve the user experience. Answering question immediately could also reduce the load on the customer service team. Win-Win. But, in the rush to adopt the latest AI technology, the company skipped some safeguards. No guardrails. No data governance policies. No oversight.
At first, the chatbot functions well. It handles basic questions about the company’s products and services. But then, a customer asks a sensitive question about the company’s stance on diversity and inclusion. Instead of offering a well-rounded, brand-aligned response, the LLM, drawing on a mix of public data, provides an offensive answer laced with subtle but harmful biases. The response reflects discrimination and outdated attitudes. End result being a customer not only shocked but also deeply offended.
Off-Brand Damage
Within minutes, the customer screenshots the conversation and posts it on social media. It goes viral. A high-profile client shares the interaction with the media, and suddenly, the company’s once-sterling reputation is tarnished. Headlines follow: “Major Financial Firm’s AI Chatbot Spews Discriminatory Remarks.” Trust in the brand plummets overnight. Not only are customers alienated, but the company now faces intense scrutiny from advocacy groups and regulators. Legal ramifications loom.
But the damage extends beyond public relations. Internally, teams scramble to control the fallout. Employees who once took pride in the brand now face uncomfortable questions from clients and partners. Stock prices dip. Competitors seize the opportunity to distance themselves.
AI Brand SafeGuards
All of this could have been avoided. By failing to safeguard their AI, the company allowed their chatbot to run unchecked, using unverified data and exposing the brand to the risks of hallucination, bias, and discrimination. It’s a stark reminder that when deploying AI solutions, businesses need responsible conversational AI systems with strict governance and guardrails in place. Without it, the cost of innovation can be far greater than anticipated—leading not just to financial losses, but a damaged reputation that may never fully recover.
This is exactly where retrieval augmented generation (RAG) plays a significant role. But, it isn’t just about a RAG deployment on any AI system. Selecting the right virtual agent, can be just as important to have an impact. Enter kama’s Enterprise RAG solution.
Protect Your Brand
Deploying a two-pass LLM-based Retrieval Augmented Generation solution may seem like a safe option. Mostly it is. But still, it comes with significant limitations. A second LLM pass designed to apply governance, bias detection, and guardrails may prevent major mishaps. Yet such solutions handcuff your system. The problem? It severely limits the system’s ability to respond effectively, leading to minimal value generation. After investing in an AI solution like this, you don’t want it to barely answers a fraction of your customer inquiries. That only raises concerns about your ROI.
Consider the stakes: if a customer-facing chatbot handles 10,000 inquiries daily, and just 2% of its responses go ‘off-script’ — whether due to hallucinations or negative bias — that means you will have 200 errors per day. Even if most of these are harmless, what happens when just one or two of them are significant incidents? Is that okay? A single inappropriate response can create a major brand-damaging situation costing your company dearly. All from what started as a seemingly small oversight.
Why risk it? Enterprise leaders need structured, deterministic solutions that won’t deviate from pre-sanctioned information. Kama’s Enterprise RAG, based on Graph AI and LLM technologies, ensures that all chatbot responses are pulled from pre-validated, trusted sources. This keeps your brand safe from errors, bias, and the chaos that often accompanies LLM-centric systems. With kama’s solution, you get accuracy, security, and brand protection. For enterprises that can’t afford to compromise, it’s the clear choice.
When accuracy, trust, and brand integrity matter most, kama’s Enterprise RAG is your only solution.
Retrieval Augmented Generation
Enterprise-Level Precision
Elevate your enterprise operations with the power of retrieval augmented generation (RAG). With kama’s Enterprise RAG, your AI Virtual Agents can deliver highly accurate, contextually relevant responses drawn from trusted, pre-approved data sources. This cutting-edge solution combines the best of Large Language Models (LLM) and Graph AI, ensuring every interaction is reliable and hallucination-free.
Enterprise RAG allows your business to provide fast, precise answers, safeguarding your brand’s reputation while increasing operational efficiency. Whether you’re managing customer inquiries or empowering internal teams, retrieval augmented generation ensures your AI solutions are always delivering top-tier performance. Seamlessly scale your AI capabilities and maintain full confidence in the accuracy of your responses, all while reducing manual oversight.
Empower your virtual agents with the trustworthiness and precision of retrieval augmented generation. See how kama’s Enterprise RAG transforms your business interactions into a competitive advantage.
Enterprise RAG Features
Robust Security and Governance
Ensures strict adherence to company policies and regulatory standards, preventing the use of unauthorized or sensitive data.
Hallucination-Free Output
Uses only pre-approved and verified data to ensure responses are accurate, avoiding the risks associated with incorrect or fabricated data.
Advanced Retrieval Augmented Generation
Combines Large Language Models (LLM) with Graph AI to deliver highly accurate, context-driven responses from trusted sources.
Real-Time Query Resolution
Provides fast, accurate answers to both customer and employee inquiries, to boost operational efficiency.
Knowledge Graph Integration
Uses knowledge graphs and organizational data to power precise, reliable virtual agent interactions.
Human-Like Understanding
Provides natural, intuitive answers that align with the tone and context of the conversation, creating a seamless customer experience.
With kama DEI
Design
Create Personas with the key product, service, corporate, social, and ethical values mapped to individual customers and historical data sources. Design empathetic and trusted interactions.
Experiential
Live, natural, automated interactions with either text or voice assistants. Your SMEs design and curate conversations to deliver accurate, governed, and truthful information to improve customer experiences and conversation flows.
Intelligence
Conversation logs give SMEs or marketers insight into evolving personal client journeys. This insight allows you to improve your customer journeys and overall experience. Service interactions are easily adapted and grown without costly and specialized resources with our human-in-the-loop rapid training method.
Without kama DEI
Design
Inference created from historical big data sources and model training or tree-structure AI designs. Personalization limited due to the simplicity of data models or decision tree approaches.
Experiential
Responses are limited and accuracy to customer inquiries may be questionable. Interaction often proves to be shallow, frustrating, and lacking empathy.
Intelligence
Learning requires large data sets that may not always be available. Model training can consume many resources, increasing project costs and slowing time-to-market for improving customer experiences.
Enterprise RAG in Action …
Ready to take your AI to the next level? Experience the power and security of a premium retrieval augmented generation system, firsthand with kama’s Enterprise RAG. Seamlessly combining accuracy, speed, and context, this solution ensures your virtual agents deliver trustworthy, reliable responses every time.
Need an AI system that guarantees precision and scales with your business? Want to see how retrieval augmented generation can revolutionize the way you handle customer and employee inquiries? Click below for a personalized demo and discover how kama’s Enterprise RAG will elevate your operation.