Engineering leaders moving enterprise RAG from a pilot to production must decide which parts of the document-to-answer workflow to buy and which to assemble. This guide compares an integrated platform with an assembled stack through workflow ownership, team capabilities, cost, and hosting requirements. It also explains what a representative pilot should demonstrate before the team commits to either approach.
Key takeaways
- Workflow ownership: Compare responsibility for the complete document-to-answer workflow, including updates, permissions and failures.
- Team capabilities: Assess the team's retrieval and application skills alongside its infrastructure experience.
- Comparable costs: Build a cost estimate from the intended workload and commercial terms rather than generic maintenance percentages.
- Separate sourcing and hosting: Treat sourcing and hosting as separate decisions. An integrated platform can have deployment options that need evaluation alongside an assembled stack.
- Pilot evidence: Use a representative pilot to test the division of work before committing to a broader rollout.
Sourcing approaches for enterprise retrieval
The core choice is between an integrated platform and an assembled stack. Within an assembled stack, teams can combine open-source components, cloud-managed services, or both. The three patterns below illustrate these sourcing choices rather than mutually exclusive operating models. LangChain retrieval and LlamaIndex RAG describe building blocks for assembled stacks. For a cloud-managed design, Google Cloud’s private RAG connectivity reference helps identify the network paths to inspect.
TABLE / Scroll horizontally for all columns →
| Approach | What the team is evaluating | Responsibility to clarify |
|---|---|---|
| Open-source assembly | A custom application built from selected retrieval libraries, parsers, databases, and infrastructure | Integration, evaluation, maintenance, and the responsibilities delegated to managed components |
| Cloud-managed assembly | Managed retrieval and data services assembled within a cloud environment | Application integration, identity, service boundaries, private connectivity, and commercial terms |
| Integrated platform | A product combining several parts of the document-to-agent workflow | What the vendor provides and operates in the selected deployment |
These patterns overlap in practice. An assembled stack can incorporate managed services, while an integrated platform defines software boundaries that may be hosted by either the vendor or the customer. The scope of platform integration does not guarantee that the vendor operates every layer. Evaluate the division of operating responsibility alongside the architecture itself.
Where an integrated platform can reduce work
Seahorse Cloud documents S3-compatible object storage, document parsing, semantic chunking, and automatic vector database synchronization. Its managed-agent capabilities include MCP tool calls, inference APIs, and usage tracking.
For example, separate internal RAG projects may otherwise repeat the code that passes parsed documents into chunking, embedding, and vector-index updates. For supported workflows, an integrated platform can reduce that repeated integration work; the pilot should identify which connections Seahorse handles and which remain part of the application.
Ask the supplier to assign operating responsibilities for the proposed edition and deployment. Have IT test source-permission changes through the complete workflow. Record commercial terms and hosting location separately.
Make document updates part of the comparison
An initial upload shows only part of a retrieval system. A useful pilot should also include a revised document, a withdrawn source, a changed permission and a file with a structure the application must interpret correctly.
Follow each change through the workflow:
- Identify how the source change is detected.
- Inspect how the document is parsed.
- Check whether the resulting chunks preserve the meaning needed for retrieval.
- Confirm which indexed version becomes available.
- Test access using the intended identities.
- Ask the application a question affected by the change.
For each step, record which component performs the work and who investigates a failure. A managed component may absorb some operational work while leaving source integration or application behavior with the customer. An assembled stack may likewise delegate database operations to a vendor. The division needs to be explicit.
Separate infrastructure skills from retrieval evaluation
A team that can operate containers and databases still needs a way to judge whether a retrieved passage supports an answer. Conversely, a strong prototype does not establish that the team can maintain the surrounding application.
Use a small set of questions that document owners can judge. Include an exact-value lookup, a question spanning several sections, and a question the sources cannot answer. Save both retrieved evidence and generated answers.
If the relevant passage is absent, examine processing and retrieval. If it is present but the answer drops a qualification, examine how the application used its context. Assign responsibility for each type of issue before deciding which architecture the team can sustain.
Compare ownership layer by layer
Use the same questions for an integrated platform and an assembled stack.
TABLE / Scroll horizontally for all columns →
| Layer | Questions for either proposal |
|---|---|
| Source connection | Who maintains connectors and detects upstream changes? |
| Document processing | Who investigates parser errors and tests difficult structures? |
| Index updates | How are additions, replacements and deletions reflected in retrieval? |
| Authorization | How do source permissions map to retrieval and application identities? |
| Answer evaluation | Who defines acceptable evidence and reviews failures? |
| Agent tools | Which actions are permitted, observed and subject to review? |
| Infrastructure | Who operates the selected deployment and restores it after failure? |
For Seahorse, tenant isolation and API-key authentication are documented database features. These features alone do not establish that source-document permissions are inherited or enforced throughout the application. IT should test how source permissions map to application identities, including a denied query and a revoked permission. Seahorse product documentation
MCP standardizes connections to tools and resources, and its authorization specification defines an optional authorization framework for HTTP-based transports. Application-specific permissions, approval policies, and tool-use rules still need to be defined and enforced in the deployed system. An MCP connection alone does not establish that a particular action is permitted.
Build a cost estimate from the intended workload
A useful cost comparison starts with inputs that can be reviewed. For each proposal, identify:
- Initial integration and evaluation work.
- Expected source volume and update frequency.
- Inference, embedding, storage and retrieval usage.
- Commercial fees and the conditions under which they change.
- Work needed to maintain connectors, evaluate changes and respond to failures.
- Backup, recovery and migration requirements.
Use the same scope and operating period for both proposals. Keep quoted vendor prices separate from internal assumptions. Show how the estimate changes when document updates, query traffic or support needs increase.
Evaluate hosting and portability separately
A requirement to keep data in a particular environment should be evaluated against the complete data flow. Check source storage, processing, inference, embeddings, logs and connected tools. Do not assume that buying software requires one hosting arrangement or that building it automatically meets the requirement.
The Seahorse product page describes a Kubernetes-native platform and on-premises or SaaS delivery. Verify the exact combination, edition and operational responsibilities offered for the intended project. Seahorse product documentation
Similarly, standard interfaces can be useful evaluation inputs without establishing complete portability. Test an export that includes the documents, metadata and relationships the application needs. Determine what must be rebuilt if a database, parser or agent component changes.
Decide what the next pilot must prove
A sourcing recommendation should follow the observed workload and responsibility split.
If the team repeatedly builds the same integration code, test whether an integrated platform handles those tasks under the proposed conditions. If the workflow requires unusual behavior, test whether the selected product can support it or whether a custom component is needed. If operations are the main constraint, inspect who will handle failures in each deployment proposal.
Set acceptance criteria before the demonstration. A useful record includes the sources and questions tested, failures observed, access boundaries checked, updates processed and responsibilities still unresolved. For example, measure the time required for source updates to reflect in retrieval, the proportion of grounded answers, access denial test outcomes, and monthly maintenance effort under identical document, query, and permission conditions. The organization should establish pass/fail thresholds for these metrics prior to the pilot.
FAQ
What if the team needs a production rollout within one quarter?
Work backward from the required workflow and review gates. Ask each provider or implementation team for a scoped plan with dependencies and acceptance tests. Pre-integrated components may reduce some work, but the schedule must still account for source quality, permissions, integration and evaluation.
Does buying a platform remove pipeline maintenance?
It can transfer defined responsibilities. It does not remove the need to maintain sources, review application behavior or confirm the division of work for the selected deployment. Record that division explicitly.
When should a team consider an assembled stack?
Consider an assembled stack when verified requirements justify the integration and operating effort, and the team can sustain both. Compare it with integrated platform deployment options using the same requirements rather than assuming one approach always wins on cost or control.
What should a Seahorse evaluation show?
Follow representative documents through processing, retrieval and the agent workflow. Inspect evidence, repeat the test after a source update, and identify the responsibilities that remain with the customer. Use the outcome to define the next stage.