Enterprise-search adjacencies
9 systems in the enterprise-search adjacencies category of the AI Agent Infrastructure Landscape, grouped by maturity tier.
Tier 1 — battle-tested (7)
- Algolia (NeuralSearch) Neural-hash hybrid (vector + keyword)
NeuralSearch combines vector + keyword via neural hashing — compresses to 1/10th size while retaining 99% info. AI-powered personalisation + recommendations.
- Clarivate Curated bibliographic metadata
Bibliographic metadata curation (Web of Science, Derwent, Cortellis). Human editorial governance + journal-deindexing. Memory-adjacent — included as a curated-knowledge baseline.
- Coveo RAG-as-a-Service via hosted MCP
RAG-as-a-Service for AWS (Dec 2025) via hosted MCP server grounding Amazon Bedrock agents in enterprise knowledge. Passage retrieval + answer generation + ranked search + fetch in one API.
- Glean Enterprise search + per-user KG
Enterprise search with 100+ connectors. Personalised per-user knowledge graph. No governance layer.
- Lucidworks Conversational Q&A AI Agent Session-history conversational memory atop RAG
Enterprise Q&A agent powered by Luci patent-pending ultra-precise RAG. Embeds on product detail pages; consumes technical PDFs, spec sheets, images, tables, charts, graphs and product manuals. Maintains session history for multi-turn fol…
- SearchUnify Agentic enterprise search + KCS
Agentic enterprise search with Knowbler — quality checks via the KCS (Knowledge-Centered Service) standard. Most explicit governance features in the segment.
- Sinequa Hybrid retrieval + agentic RAG
Hybrid retrieval combining dense vector + keyword + graph traversal + multimodal. Agentic RAG grounding AI agents in internal knowledge. SOC 2 / ISO 27001 compliant.
Tier 2 — production-ready (2)
- Meilisearch Open-source semantic + hybrid search
Semantic + hybrid search GA (2025). Automatic embedding generation + caching via OpenAI / HuggingFace / Ollama. Multi-modal (text + images); hybrid rank fusion; conversational RAG built in.
- Mindbreeze InSpire Hybrid + entitlement-aware + KG
Hybrid keyword + vector retrieval with entitlement-aware filtering. Unified enterprise knowledge graph linking documents, tickets, records. RAG prompt orchestration built in.