Prompt

I'm trying to build one search layer across multiple internal apps. What should I use?

Artificial Intelligence / AI Search1 observationLast seen Oct 10, 2026

Latest observation

Oct 10, 2026OpenAI APIWeb search: off

If you want one search layer across multiple internal apps, the best choice depends on whether you want:

  1. A single search box across everything
  2. A unified search index with connectors
  3. A customizable product-search style experience
  4. A self-hosted / cloud-managed enterprise search stack

Best options by use case

1) If you want a ready-made internal search platform

Use Elasticsearch / OpenSearch.

  • Good for indexing data from many apps
  • Flexible relevance tuning
  • Supports search APIs, filtering, faceting, autocomplete
  • Can be self-hosted or managed
  • Works well if your team can build the ingestion/indexing pipeline

Best when: you need control and have engineering resources.


2) If you want a modern SaaS-like internal enterprise search

Use Glean, Coveo, or Algolia NeuralSearch / Algolia Search depending on your needs.

  • Glean is especially strong for internal knowledge across apps like Slack, Google Drive, Jira, Confluence, etc.
  • Coveo is strong for enterprise relevance and connectors
  • Algolia is great for fast, developer-friendly search, but often more product/app search oriented than broad enterprise search

Best when: you want speed to value and lots of built-in connectors.


3) If you want to build the layer yourself on top of multiple systems

Use a central search service with:

  • ingestion/connectors
  • normalization layer
  • index (OpenSearch/Elasticsearch)
  • query API
  • permissions-aware filtering

This is the most common architecture if you have multiple internal apps and specific access-control needs.

Best when: you have unique business logic or strict ACL requirements.


My practical recommendation

  • For internal company-wide search: Glean if you want turnkey, or OpenSearch/Elasticsearch if you want to own the stack.
  • For search embedded into your own app(s): Algolia.
  • For Microsoft-heavy environments: consider Microsoft Search / SharePoint / Graph connectors.
  • For Google Workspace-heavy environments: consider Google Cloud Search.

Important thing to get right

Regardless of the tool, make sure you handle:

  • document/user permissions
  • sync latency
  • schema normalization across apps
  • deduplication
  • ranking/relevance tuning
  • auditability

If you want a simple answer

  • Fastest to deploy: Glean
  • Most control: OpenSearch / Elasticsearch
  • Best for app search UX: Algolia

If you tell me:

  • what internal apps you have,
  • whether you need permissions-aware search,
  • cloud vs self-hosted,
  • and how many users/docs,

I can recommend a specific architecture and tool choice.

Observation history

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