Navigating a sea of paperwork, scattered throughout varied platforms, is usually a daunting process, usually resulting in gradual decision-making and missed insights. As organizational information and knowledge multiplies, groups that may’t centralize or floor the precise data shortly will wrestle to make choices, innovate, and keep aggressive.
This weblog explores how the brand new Speak to My Docs (TTMDocs) agent offers an answer to the steep prices of data fragmentation.
The excessive price of data fragmentation
Data fragmentation is not only an inconvenience — it’s a hidden price to productiveness, actively robbing your workforce of time and perception.
- A survey by Starmind throughout 1,000+ information employees discovered that workers solely faucet into 38% of their out there information/experience as a result of of this fragmentation.
- One other examine by McKinsey & Associates discovered that information employees spend over 1 / 4 of their time looking for the data they want throughout totally different platforms equivalent to Google Drive, Field, or native programs.
The constraints of current options
Whereas there are a number of choices in the marketplace designed to ease the method of querying throughout key paperwork and supplies residing in quite a lot of locations, many have important constraints in what they will really ship.
For instance:
- Vendor lock-in can severely hinder the promised expertise. Until you might be strictly utilizing the supported integrations of your vendor of alternative, which in most situations is unrealistic, you find yourself with a restricted subset of knowledge repositories you possibly can hook up with and work together with.
- Safety and compliance issues add one other layer of complexity. When you’ve got entry to at least one platform or paperwork, chances are you’ll not want entry to a different, and any misstep or missed vulnerability can open up your group to potential danger.
Speak to My Docs takes a unique method
DataRobot’s new Speak to My Docs agent represents a unique method. We offer the developer instruments and assist you might want to construct AI options that really work in enterprise contexts. Not as a vendor-controlled service, however as a customizable open-source template you possibly can tailor to your wants.
The differentiation isn’t delicate. With TTMDocs you get:
- Enterprise safety and compliance inbuilt from day one
- Multi-source connectivity as an alternative of vendor lock-in
- Zero-trust entry management (Respects Present Permissions)
- Full observability via DataRobot platform integration
- Multi-agent structure that scales with complexity
- Full code entry and customizability as an alternative of black field APIs
- Trendy infrastructure-as-code for repeatable deployments
What makes Speak to My Docs totally different
Speak To My Docs is an open-source software template that provides you the intuitive, acquainted chat-style expertise that trendy information employees have come to anticipate, coupled with the management and customizability you really want.
This isn’t a SaaS product you subscribe to; however relatively a developer-friendly template you possibly can deploy, modify, and make your individual.
Multi-source integration and actual safety
TTMDocs connects to Google Drive, Field, and your native filesystems out of the field, with Sharepoint and JIRA integrations coming quickly.
- Protect current controls: We offer out-of-the-box OAuth integration to deal with authentication securely via current credentials. You’re not making a parallel permission construction to handle—should you don’t have permission to see a doc in Google Drive, you gained’t see it in TTMDocs both.
- Meet knowledge the place it lives: Not like vendor-locked options, you’re not pressured emigrate your doc ecosystem. You may seamlessly leverage information saved in structured and unstructured connectors like Google Drive, Field, Confluence, Sharepoint out there on the DataRobot platform or add your information regionally.
Multi-agent structure that scales
TTMDocs makes use of CrewAI for multi-agent orchestration, so you possibly can have specialised brokers dealing with totally different facets of a question.
- Modular & versatile: The modular structure means you can too swap in your most well-liked agentic framework, whether or not that’s LangGraph, LlamaIndex, or every other, if it higher fits your wants.
- Customizable: Need to change how brokers interpret queries? Modify the prompts. Want customized instruments for domain-specific duties? Add them. Have compliance necessities? Construct these guardrails immediately into the code.
- Scalable: As your doc assortment grows and use circumstances turn into extra complicated, you possibly can add brokers with specialised instruments and prompts relatively than attempting to make one agent do all the pieces. For instance, one agent may retrieve monetary paperwork, one other deal with technical specs, and a 3rd synthesize cross-functional insights.
Enterprise platform integration
One other key facet of Speak to my Docs is that it integrates together with your current DataRobot infrastructure.
- Guarded RAG & LLM entry: The template features a Guarded RAG LLM Mannequin for managed doc retrieval and LLM Gateway integration for entry to 80+ open and closed-source LLMs.
- Full observability: Each question is logged. Each retrieval is tracked. Each error is captured. This implies you’ve full tracing and observability via the DataRobot platform, permitting you to truly troubleshoot when one thing goes flawed.
Trendy, modular elements
The template is organized into clear, unbiased items that may be developed and deployed individually or as a part of the total stack:
| Part | Description |
| agent_retrieval_agent | Multi-agent orchestration utilizing CrewAI. Core agent logic and question routing. |
core | Shared Python logic, frequent utilities, and features. |
| frontend_web | React and Vite internet frontend for the person interface. |
| internet | FastAPI backend. Manages API endpoints, authentication, and communication. |
| infra | Pulumi infrastructure-as-code for provisioning cloud assets. |
The facility of specialization: Speak to My Docs use circumstances
The sample is productionized specialised brokers, working collectively throughout your current doc sources, with safety and observability inbuilt.
Listed below are a number of examples of how that is utilized within the enterprise:
- M&A due diligence: Cross-reference monetary statements (Field), authorized contracts (Google Drive), and technical documentation (native information). The permission construction ensures solely the deal workforce sees delicate supplies.
- Medical trial documentation: Confirm trial protocols align with regulatory pointers throughout tons of of paperwork, flagging inconsistencies earlier than submission.
- Authorized discovery: Search throughout years of emails, contracts, and memos scattered throughout platforms, figuring out related and privileged supplies whereas respecting strict entry controls.
- Product launch readiness: Confirm advertising supplies, regulatory approvals, and provide chain documentation are aligned throughout areas and backed by certifications.
- Insurance coverage claims investigation: Pull coverage paperwork, adjuster notes, and third-party assessments to cross-reference protection phrases and flag potential fraud indicators.
- Analysis grant compliance: Cross-reference price range paperwork, buy orders, and grant agreements to flag potential compliance points earlier than audits.
Use case: Medical trial documentation
The problem
A biotech firm making ready an FDA submission is drowning in documentation unfold throughout a number of programs: FDA steerage in Google Drive, trial protocols in SharePoint, lab studies in Field, and high quality procedures regionally. The core downside is making certain consistency throughout all paperwork (protocols, security, high quality) earlier than a submission or inspection, which calls for a fast, unified view.
How TTMDocs helps
The corporate deploys a personalized healthcare regulatory agent, a unified system that may reply complicated compliance questions throughout all doc sources.
Regulatory agent:
Identifies relevant FDA submission necessities for the precise drug candidate.
Medical evaluation agent:
Evaluations trial protocols towards trade requirements for affected person security and analysis ethics.
Security compliance agent:
Checks that security monitoring and antagonistic occasion reporting procedures meet FDA timelines.
The end result
A regulatory workforce member asks: “What do we want for our submission, and are our security monitoring procedures as much as customary?”
As a substitute of spending days gathering paperwork and cross-referencing necessities, they get a structured response inside minutes. The system identifies their submission pathway, flags three high-priority gaps of their security procedures, notes two points with their high quality documentation, and offers a prioritized motion plan with particular timelines.
The place to look: The code that makes it occur
One of the simplest ways to know TTMDocs is to take a look at the precise code. The repository is totally open supply and out there on Github.
Listed below are the important thing locations to start out exploring:
- Agent structure (agent_retrieval_agent/custom_model/agent.py): See how CrewAI coordinates totally different brokers, how prompts are structured, and the place you possibly can inject customized habits.
- Instrument integration (agent_retrieval_agent/custom_model/software.py): Exhibits how brokers work together with exterior programs. That is the place you’d add customized instruments for querying an inside API or processing domain-specific file codecs.
- OAuth and safety (internet/app/auth/oauth.py): See precisely how authentication works with Google Drive and Field and the way your person permissions are preserved all through the system.
- Internet backend (internet/app/): The FastAPI software that ties all the pieces collectively. You’ll see how the frontend communicates with brokers, and the way conversations are managed.
The way forward for enterprise AI is open
Enterprise AI is at an inflection level. The hole between what end-user AI instruments can do and what enterprises really want is rising. Your organization is realizing that “adequate” shopper AI merchandise create extra issues than they resolve whenever you can’t compromise on enterprise necessities like safety, compliance, and integration.
The longer term isn’t about selecting between comfort and management. It’s about having each. Speak to my Docs places each the facility and the pliability into your fingers, delivering outcomes you possibly can belief.
The code is yours. The chances are countless.
Expertise the distinction. Begin constructing immediately.
With DataRobot software templates, you’re by no means locked into inflexible black-box programs. Acquire a versatile basis that allows you to adapt, experiment, and innovate in your phrases. Whether or not refining current workflows or creating new AI-powered purposes, DataRobot offers you the readability and confidence to maneuver ahead.
Begin exploring what’s doable with a free 14-day trial.
