Product Docs
  • What is Dataworkz?
  • Getting Started
    • What You Will Need (Prerequisites)
    • Create with Default Settings: RAG Quickstart
    • Custom Settings: RAG Quickstart
    • Data Transformation Quickstart
    • Create an Agent: Quickstart
  • Concepts
    • RAG Applications
      • Overview
      • Ingestion
      • Embedding Models
      • Vectorization
      • Retrieve
    • AI Agents
      • Introduction
      • Overview
      • Tools
        • Implementation
      • Type
      • Tools Repository
      • Tool Execution Framework
      • Agents
      • Scenarios
      • Agent Builder
    • Data Studio
      • No-code Transformations
      • Datasets
      • Dataflows
        • Single Dataflows:
        • Composite dataflows:
        • Benefits of Dataflows:
      • Discovery
        • How to: Discovery
      • Lineage
        • Features of Lineage:
        • Viewing a dataset's lineage:
      • Catalog
      • Monitoring
      • Statistics
  • Guides
    • RAG Applications
      • Configure LLM's
        • AWS Bedrock
      • Embedding Models
        • Privately Hosted Embedding Models
        • Amazon Bedrock Hosted Embedding Model
        • OpenAI Embedding Model
      • Connecting Your Data
        • Finding Your Data Storage: Collections
      • Unstructured Data Ingestion
        • Ingesting Unstructured Data
        • Unstructured File Ingestion
        • Html/Sharepoint Ingestion
      • Create Vector Embeddings
        • How to Build the Vector embeddings from Scratch
        • How do Modify Existing Chunking/Embedding Dataflows
      • Response History
      • Creating RAG Experiments with Dataworkz
      • Advanced RAG - Access Control for your data corpus
    • AI Agents
      • Concepts
      • Tools
        • Dataset
        • AI App
        • Rest API
        • LLM Tool
        • Relational DB
        • MongoDB
        • Snowflake
      • Agent Builder
      • Agents
      • Guidelines
    • Data Studio
      • Transformation Functions
        • Column Transformations
          • String Operations
            • Format Operations
            • String Calculation Operations
            • Remove Stop Words Operation
            • Fuzzy Match Operation
            • Masking Operations
            • 1-way Hash Operation
            • Copy Operation
            • Unnest Operation
            • Convert Operation
            • Vlookup Operation
          • Numeric Operations
            • Tiles Operation
            • Numeric Calculation Operations
            • Custom Calculation Operation
            • Numeric Encode Operation
            • Mask Operation
            • 1-way Hash Operation
            • Copy Operation
            • Convert Operation
            • VLookup Operation
          • Boolean Operations
            • Mask Operation
            • 1-way Hash Operation
            • Copy Operation
          • Date Operations
            • Date Format Operations
            • Date Calculation Operations
            • Mask Operation
            • 1-way Hash Operation
            • Copy Operation
            • Encode Operation
            • Convert Operation
          • Datetime/Timestamp Operations
            • Datetime Format Operations
            • Datetime Calculation Operations
            • Mask Operation
            • 1-way Hash Operation
            • Copy Operation
            • Encode Operation
            • Page 1
        • Dataset Transformations
          • Utility Functions
            • Area Under the Curve
            • Page Rank Utility Function
            • Transpose Utility Function
            • Semantic Search Template Utility Function
            • New Header Utility Function
            • Transform to JSON Utility Function
            • Text Utility Function
            • UI Utility Function
          • Window Functions
          • Case Statement
            • Editor Query
            • UI Query
          • Filter
            • Editor Query
            • UI Query
      • Data Prep
        • Joins
          • Configuring a Join
        • Union
          • Configuring a Union
      • Working with CSV files
      • Job Monitoring
    • Utility Features
      • IP safelist
      • Connect to data source(s)
        • Cloud Data Platforms
          • AWS S3
          • BigQuery
          • Google Cloud Storage
          • Azure
          • Snowflake
          • Redshift
          • Databricks
        • Databases
          • MySQL
          • Microsoft SQL Server
          • Oracle
          • MariaDB
          • Postgres
          • DB2
          • MongoDB
          • Couchbase
          • Aerospike
          • Pinecone
        • SaaS Applications
          • Google Ads
          • Google Analytics
          • Marketo
          • Zoom
          • JIRA
          • Salesforce
          • Zendesk
          • Hubspot
          • Outreach
          • Fullstory
          • Pendo
          • Box
          • Google Sheets
          • Slack
          • OneDrive / Sharepoint
          • ServiceNow
          • Stripe
      • Authentication
      • User Management
    • How To
      • Data Lake to Salesforce
      • Embed RAG into your App
  • API
    • Generate API Key in Dataworkz
    • RAG Apps API
    • Agents API
  • Open Source License Types
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  1. Concepts
  2. AI Agents

Agents

Dataworkz Agents are software systems that are powered by LLMs and Tools and provide reasoning based problem solving coupled with tool execution to solve complex problems. Dataworkz Agents are enterprise-grade systems with robust capabilities around data security and access control. An extensive tool set enables Agent and Tool builders to build, test, introspect and manage Agent operations. A Dataworkz Agent is described using a JSON which captures all the configuration declaratively. This agent configuration is given a unique id and is used when leveraging the Agent API to invoke the agent.

An example Agent configuration file can look like this -

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Last updated 1 month ago