Navigating a sea of paperwork, scattered throughout varied platforms, is usually a daunting process, typically resulting in sluggish decision-making and missed insights. As organizational data and information multiplies, groups that may’t centralize or floor the precise info shortly will wrestle to make selections, innovate, and keep aggressive.
This weblog explores how the brand new Speak to My Docs (TTMDocs) agent supplies an answer to the steep prices of information fragmentation.
The excessive price of information fragmentation
Information fragmentation is not only an inconvenience — it’s a hidden price to productiveness, actively robbing your crew of time and perception.
- A survey by Starmind throughout 1,000+ data staff discovered that staff solely faucet into 38% of their accessible data/experience as a result of of this fragmentation.
- One other research by McKinsey & Associates discovered that data staff spend over 1 / 4 of their time looking for the knowledge they want throughout totally different platforms corresponding to Google Drive, Field, or native techniques.
The constraints of present options
Whereas there are a number of choices available on the market designed to ease the method of querying throughout key paperwork and supplies residing in a wide range of locations, many have important constraints in what they’ll really ship.
For instance:
- Vendor lock-in can severely hinder the promised expertise. Until you’re strictly utilizing the supported integrations of your vendor of alternative, which in most cases is unrealistic, you find yourself with a restricted subset of knowledge repositories you may connect with and work together with.
- Safety and compliance issues add one other layer of complexity. In case you have entry to 1 platform or paperwork, you could not want entry to a different, and any misstep or missed vulnerability can open up your group to potential threat.
Speak to My Docs takes a special strategy
DataRobot’s new Speak to My Docs agent represents a special strategy. We offer the developer instruments and help you’ll want to construct AI options that truly work in enterprise contexts. Not as a vendor-controlled service, however as a customizable open-source template you may tailor to your wants.
The differentiation isn’t refined. With TTMDocs you get:
- Enterprise safety and compliance in-built 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
- Fashionable infrastructure-as-code for repeatable deployments
What makes Speak to My Docs totally different
Speak To My Docs is an open-source utility template that provides you the intuitive, acquainted chat-style expertise that trendy data staff have come to anticipate, coupled with the management and customizability you really need.
This isn’t a SaaS product you subscribe to; however somewhat a developer-friendly template you may 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 present controls: We offer out-of-the-box OAuth integration to deal with authentication securely via present 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 received’t see it in TTMDocs both.
- Meet information 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 accessible on the DataRobot platform or add your information domestically.
Multi-agent structure that scales
TTMDocs makes use of CrewAI for multi-agent orchestration, so you may have specialised brokers dealing with totally different elements of a question.
- Modular & versatile: The modular structure means you can even swap in your most popular 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? Alter the prompts. Want customized instruments for domain-specific duties? Add them. Have compliance necessities? Construct these guardrails instantly into the code.
- Scalable: As your doc assortment grows and use instances develop into extra complicated, you may add brokers with specialised instruments and prompts somewhat than attempting to make one agent do the whole lot. For instance, one agent would possibly retrieve monetary paperwork, one other deal with technical specs, and a 3rd synthesize cross-functional insights.
Enterprise platform integration
One other key side of Speak to my Docs is that it integrates along with your present 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 might have full tracing and observability via the DataRobot platform, permitting you to truly troubleshoot when one thing goes improper.
Fashionable, modular parts
The template is organized into clear, impartial items that may be developed and deployed individually or as a part of the complete stack:
| Part | Description |
| agent_retrieval_agent | Multi-agent orchestration utilizing CrewAI. Core agent logic and question routing. |
core | Shared Python logic, widespread utilities, and capabilities. |
| frontend_web | React and Vite net frontend for the consumer interface. |
| net | 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 instances
The sample is productionized specialised brokers, working collectively throughout your present doc sources, with safety and observability in-built.
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 crew sees delicate supplies.
- Medical trial documentation: Confirm trial protocols align with regulatory pointers throughout lots 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 funds paperwork, buy orders, and grant agreements to flag potential compliance points earlier than audits.
Use case: Medical trial documentation
The problem
A biotech firm getting ready an FDA submission is drowning in documentation unfold throughout a number of techniques: FDA steering in Google Drive, trial protocols in SharePoint, lab experiences in Field, and high quality procedures domestically. The core drawback 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 particular drug candidate.
Medical evaluation agent:
Critiques trial protocols towards trade requirements for affected person security and analysis ethics.
Security compliance agent:
Checks that security monitoring and adversarial occasion reporting procedures meet FDA timelines.
The outcome
A regulatory crew member asks: “What do we’d like for our submission, and are our security monitoring procedures as much as commonplace?”
As an alternative 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 supplies a prioritized motion plan with particular timelines.
The place to look: The code that makes it occur
One of the best ways to know TTMDocs is to take a look at the precise code. The repository is totally open supply and accessible on Github.
Listed below are the important thing locations to begin 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 may inject customized habits.
- Software integration (agent_retrieval_agent/custom_model/instrument.py): Exhibits how brokers work together with exterior techniques. That is the place you’d add customized instruments for querying an inside API or processing domain-specific file codecs.
- OAuth and safety (net/app/auth/oauth.py): See precisely how authentication works with Google Drive and Field and the way your consumer permissions are preserved all through the system.
- Net backend (net/app/): The FastAPI utility that ties the whole lot 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 need is rising. Your organization is realizing that “ok” client AI merchandise create extra issues than they clear up if 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 ability and the pliability into your fingers, delivering outcomes you may belief.
The code is yours. The chances are countless.
Expertise the distinction. Begin constructing right now.
With DataRobot utility templates, you’re by no means locked into inflexible black-box techniques. Acquire a versatile basis that allows you to adapt, experiment, and innovate in your phrases. Whether or not refining present workflows or creating new AI-powered functions, DataRobot provides you the readability and confidence to maneuver ahead.
Begin exploring what’s potential with a free 14-day trial.