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State of GenAI Data Readiness in 2024 - Survey results are in
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K2view RAG tool

Ground GenAI appschristmas-stars-1
with enterprise data

Extend RAG to include enterprise application data,
and get personalized LLM responses your users will trust.

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Why is enterprise data crucial for GenAI apps?

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LLMs don’t know your business 

LLMs provide generic responses – they don’t know your customers, services, employees, and suppliers.

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Most of the answers lie in your app data

The data in your business systems, like CRM, ERP, and Billing, is key to answering enterprise GenAI questions.

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LLMs can generate false information 

Without access to your business data, LLMs may hallucinate and damage your reputation and customer trust. 

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Use your enterprise data to power up your GenAI apps

With K2view any business question meets its grounded, personalized  LLM answer, while never sacrificing data privacy or security.

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Prepare your enterprise data for RAG

Prepare your enterprise data for RAG

Our patented Micro-Database technology is a paradigm shift in readying your data for GenAI. It's a new way of organizing enterprise data for retrieval augmented generation (RAG), essentially doing for multi-source application data what chunking, embedding, and vector DBs do for document-based data.

In customer service use cases, for example, the data for each customer is dynamically organized into its own Micro-Database, which is micro-sized, isolated, and complete with all relevant data about the customer.  

More on Micro-Databases

Build GenAI agents, grounded by AI-ready data

  • 01 No-code agent builder
  • 02 Chain-of-thought orchestration
  • 03 Text-to-SQL automation
  • 04 Real-time data retrieval
  • 05 100s of prebuilt functions

01No-code agent builder

Build your AI data agents in minutes using our no-code Studio, which includes a built-in testing and debug tool.

No-code agent builder

02Chain-of-thought orchestration

Orchestrate chain-of-thought prompting and LLM reflection to maximize LLM response accuracy.

03 Chain-of-thought prompting-Nov-05-2024-09-11-23-5769-AM

03Text-to-SQL automation

Dynamically transform any user prompt into SQL queries that retrieve the needed enterprise data for LLM augmentation.

01 Text-to-SQL automation-Nov-06-2024-02-35-54-8174-PM

04Real-time data retrieval

Retrieve fresh and compliant data from the Micro-Database, at conversational latency, and within required guardrails.

02 Real-time data retrieval-Nov-05-2024-10-58-37-8747-AM

05100s of prebuilt functions

Pick and config the LLM functions your data agent will use. From basic API calls and data transformations, to sophisticated data parsing and analysis – we've got you covered.

04 100s of prebuilt functions-Nov-04-2024-03-36-16-9327-PM

​Closing​ the GenAI data gap​

The K2view RAG tool injects enterprise data into your LLM for GenAI success.

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Data guardrails

Data guardrails

Ensuring sensitive data never leaks to the LLM or to unauthorized users. 
Conversational latency

Conversational latency

Responding to user prompts in millisecs to support operational GenAI use cases.

Right-now data

Trusted data

Augmenting LLMs with fresh, relevant, and contextually-rich business data.
Controlled AI costs

Controlled AI costs

Minimizing data storage, LLM tokens, and hardcoded LLM functions.
AI scale

AI scale

Supporting high query concurrency across huge data volume.
Reliability

Reliable LLM responses

Delivering grounded, accurate, and personalized answers.

Powering transformative generative AI
use cases with your enterprise data 

Customer service chatbot

Telco | Customer service chatbot

RAG can elevate your users' chatbot experiences with personalized answers, and reduce your costs with higher first contact resolution rates.

Call center assistance

Banking | Call center assistance

RAG can provide your call center reps with 360° customer views and real-time insights, for greater customer satisfaction and reduced call times. 

Internal HR applications

Enterprise | Internal HR applications

RAG can inject employee data into your HR app to provide users with individually tailored responses about attendance, benefits, and vacation time. 

market survey

Just 2% of US and UK businesses are ready for production GenAI

Our 2024 Enterprise Data Readiness for GenAI survey reveals the top challenges enterprises face as they work toward GenAI deployments.

The most significant GenAI roadblocks lie in the data infrastructure, particularly in the areas of data accessibility and latency, data privacy, and security.

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GenAI survey (3)

Learn more about
GenAI and RAG

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gartner@2x
Gartner report

Early Lessons in Building LLM-Based Generative AI Solutions

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Get the IDC Analyst Report
IDC@2x
IDC Analyst Report

Closing the GenAI Data Gap

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Get the Survey
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Market Survey

Enterprise data readiness for GenAI in 2024

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Bloor LP@2x
Bloor Report

RAGs to Riches: A Guide to Successful LLM Augmentation with Enterprise Data

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Ravit
Video

The Ravit show interviewing K2view CEO Ronen Schwartz

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GenAI video
Gartner D&A Summit 2024

Make GenAI Work for Your Business with Real-time Enterprise Data

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RAGs to Riches@2x
Video

RAGs to Riches? The Realities of RAG and text-to-SQL

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Chain of thought@2x-1
Video

Enhance Your Enterprise LLMs with Chain-of-Thought Prompting

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Ask The Expert: Is Your Data GenAI-Ready?

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