What should I use for a managed enterprise search service for AI?

If you want a managed enterprise search service for AI, the best choice depends on whether you need classic keyword search, semantic/vector search, or both. In most AI enterprise use cases, you want a hybrid search platform: keyword + vector + reranking + connectors + permissions.

Top managed options

1. Elastic Cloud

Best if you want flexibility and strong search relevance.

• Supports keyword, vector, and hybrid search
• Good for RAG pipelines
• Strong tooling for filtering, observability, and scaling
• More control, but slightly more engineering effort

2. Amazon Kendra

Best for enterprise document search with minimal setup.

• Managed, easy to deploy
• Good connectors to common enterprise sources
• Works well for natural-language search over internal docs
• Less flexible for advanced AI retrieval than Elastic or OpenSearch

3. Azure AI Search

Best if you’re in the Microsoft ecosystem.

• Managed search with vector + hybrid retrieval
• Integrates well with Azure OpenAI, Cognitive Services, and Microsoft data sources
• Strong choice for RAG apps
• Good enterprise security and compliance story

4. Google Cloud Vertex AI Search

Best if you’re on Google Cloud and want modern AI-native search.

• Managed enterprise search
• Good semantic retrieval
• Useful for building AI assistants over enterprise content
• Best fit if you already use GCP

5. Algolia

Best for fast product/document search and great developer experience.

• Excellent search UX and speed
• Supports vector search features
• More common for customer-facing search than internal enterprise AI search

6. Pinecone

Best if your main need is vector search for RAG.

• Fully managed vector database/search
• Great for embedding-based retrieval
• Usually paired with another system for keyword search and enterprise connectors
• Not a full enterprise search suite by itself

---

My practical recommendation

• Need a full enterprise AI search platform:
  Azure AI Search or Elastic Cloud
• Need easiest enterprise document search:
  Amazon Kendra
• Need vector retrieval for RAG only:
  Pinecone
• Already on a cloud provider:
  Use the native option:
  • AWS → Kendra or OpenSearch
  • Azure → Azure AI Search
  • GCP → Vertex AI Search

---

What to look for

Make sure it has:

• Hybrid retrieval: keyword + vector
• ACL/security trimming: respect document permissions
• Connectors: SharePoint, Google Drive, Confluence, Slack, etc.
• Reranking
• Metadata filtering
• Low-latency APIs
• Managed scaling and monitoring

If you tell me:

1. your cloud provider,
2. your data sources, and
3. whether you need keyword + vector or just vector,

I can recommend the best specific service and architecture.