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Dataworkz

Dataworkz

Dataworkz is an Agentic RAG (Retrieval-Augmented Generation) as-a-service platform that enables enterprises to rapidly build, deploy and scale GenAI applications by combining agent-based reasoning, knowledge graphs, hybrid search, and no-code RAG tooling.

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Dataworkz

Dataworkz provides an all-in-one Agentic RAG (Retrieval-Augmented Generation) platform designed to accelerate the development and deployment of GenAI applications. The product focuses on agent-based intelligence and a composable AI stack to support any RAG pattern, any data type, and complex workflows. It targets enterprise customers—particularly in banking, financial services, insurance, healthcare and retail—who need to ground LLMs in proprietary data and deliver accurate, production-ready AI assistants and copilots.

Key components of the platform include a reasoning engine (LLM-based orchestration and multi-agent coordination), a knowledge graph for relationship-aware retrieval, hybrid search and retrieval combining lexical/semantic/graph methods, and an agent builder with no-code/low-code tools for rapidly prototyping and launching applications. Dataworkz emphasizes security and compliance (SOC2 Type 2) and provides connectors for enterprise systems (databases, NoSQL, CRM, ERP) to enable grounded, high-relevance responses.

Dataworkz is an Agentic RAG (Retrieval-Augmented Generation) as-a-service platform that enables enterprises to rapidly build, deploy and scale GenAI applications by combining agent-based reasoning, knowledge graphs, hybrid search, and no-code RAG tooling.

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Key Features

Agentic RAG

Agent-based intelligence to support any RAG pattern, handle multiple data types and orchestrate complex workflows across agents and tools.

Composable AI Stack

Configure and optimize each aspect of the RAG pipeline (retrieval, re-ranking, reasoning, tools) with a few clicks to tailor behavior and performance.

No-code RAG Builder

Visual/no-code interface to rapidly build, deploy and scale GenAI apps that connect to proprietary data without heavy engineering.

Reasoning Engine

LLM-based reasoning to break down complex questions into manageable tasks, orchestrate multi-step workflows, and enable multi-agent collaboration.

Knowledge Graph

Graph-based retrieval to capture relationships in data, drive contextual relevance and reduce hallucinations by grounding answers in structured knowledge.

Hybrid Search & Retrieval

Combines lexical, semantic and graph-based search along with a re-ranker model to deliver more relevant and trusted results from enterprise systems.

Agent Builder (Agents for Building Agents)

Create specialized agents for different tasks via conversational interfaces, enabling agents to access other agents and tools to execute complex workflows.

Enterprise Data Connectors

Connectors to databases, NoSQL stores, CRM, ERP and other enterprise systems to ingest and serve trusted data for retrieval augmentation.

Security & Compliance

SOC2 Type 2 certified platform with the ability to request SOC2 reports, emphasizing data security and privacy practices for enterprise customers.

Pricing

Free Tier Available

Free trial available (Try for Free — no credit card required). Detailed pricing tiers are not published on the page.

Use Cases

Q&A Platform

Enable employees to ask questions in natural language and get instant, grounded answers from organizational knowledge for IT, HR, onboarding, and more.

Intelligent Document Search

Go beyond keyword search to find documents by meaning, surface relevant content from distributed sources and provide summaries to speed assessment.

Support & Service Chatbot

Power chatbots with RAG to provide contextually relevant, up-to-date responses that improve customer satisfaction and convert engagement into qualified leads.

Service Co-pilot

Equip service advisors with AI copilots that tap into internal experts and knowledge to resolve issues faster and improve mean time to resolution (MTTR).

Industry-specific Agents (Finance, Insurance, Life Sciences)

Create tailored agents for regulated industries that need precise, auditable answers grounded in internal data and domain knowledge.

Integrations

Databases

Connectors to SQL databases to retrieve trusted records and documents for grounding models.

NoSQL Stores

Integration with NoSQL systems to access unstructured or semi-structured enterprise data for retrieval and indexing.

CRM & ERP

Connect CRM and ERP systems so agents can surface up-to-date customer, product and operational information.

Document Stores & File Repositories

Index and search across distributed document sources to enable intelligent document search and summarization.

Benefits

Dramatically faster time-to-production for RAG applications (example comparisons show production timelines measured in days vs months).
Reduced engineering and DevOps overhead (customers report fewer FTEs required versus building in-house).
Improved answer accuracy and fewer hallucinations by grounding models with knowledge graphs and hybrid retrieval.
Composable, configurable pipeline lets teams optimize relevance and performance without rebuilding from scratch.
End-to-end lifecycle support and enterprise best-practices baked into the platform for scalable, reliable deployments.

Limitations

No detailed pricing tiers or plans are published on the page; customers must contact Dataworkz for pricing specifics.
Public documentation about a programmatic API or rate limits is not provided on the site (API availability is not explicitly stated).

Frequently Asked Questions

Is Dataworkz SOC2 compliant?
Yes. Dataworkz has achieved SOC2 Type 2 certification and allows customers to request the SOC2 report.
Can I try Dataworkz before purchasing?
Yes. The site offers a 'Try for Free' trial with no credit card required. Details on trial length and limits are not specified on the page.
What data sources can Dataworkz connect to?
The platform supports a wide range of enterprise sources including SQL and NoSQL databases, CRM and ERP systems, and document repositories; exact connector details are not listed on the page.
Is an API available for programmatic access?
The public page does not explicitly document a public API. For programmatic or advanced integration details, contact Dataworkz sales/support.
How does Dataworkz reduce hallucinations?
Dataworkz combines hybrid retrieval (lexical, semantic and graph), a knowledge graph for relationship-aware search, and re-ranker models to ground outputs in trusted data and reduce hallucinations.

Getting Started

  1. 1 Step 1: Sign up for a trial (Try for Free — no credit card required).
  2. 2 Step 2: Connect your data sources (databases, NoSQL, CRM, ERP, documents) using built-in connectors.
  3. 3 Step 3: Use the no-code RAG builder or agent builder to configure retrieval, knowledge graph and reasoning components.
  4. 4 Step 4: Test, iterate and deploy agents or RAG-powered apps to production; leverage enterprise deployment options (e.g., VPC) as required.

Support

Docs

Product documentation and resources are referenced on the site (Data Studio, Agent Hub, RAG Builder pages) — detailed links not included on the provided content.

Email

The site invites users to 'Shoot up your questions' by email, but no specific email address is listed on the provided content; visit the site for contact form or email details.

Community (Slack)

Join the Dataworkz Slack community (link referenced on the site) to connect with product and other users.

LinkedIn

Follow Dataworkz on LinkedIn for company news and updates (LinkedIn link referenced on the site).

Compliance Documents

Request SOC2 Report option is available for security and compliance inquiries.

API

Available: No

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