Sinequa
Hybrid retrieval combining dense vector + keyword + graph traversal + multimodal. Agentic RAG grounding AI agents in internal knowledge. SOC 2 / ISO 27001 compliant.
At a glance
- Type
- Hybrid retrieval + agentic RAG
- Tier
- T1
- Section
- Enterprise-search adjacencies
- Created
- 2024-11
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Enterprise only
- Funding
- Acquired by ChapsVision · 2024-11
Taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- long-term
- update
- extraction
- unit
- document
- governance
- auditable
- conflict
- n/a
When to use
Optimised for: enterprise connectors + entitlements + governance + RAG-grounding
Anti-fit: not for SMB / consumer use cases
Pros & cons
Pros
Strong in regulated industries (defense, finance, life sciences) — compliance and security posture is the differentiator.
Cons
Heavyweight enterprise install; smaller developer community; AI features lag pure-play AI search products.
Claims & capabilities
SPARK Matrix Leader Q4 2025; Gartner-cited for powering AI assistants.
Technical surface
- API surface
- REST, SDK: JS/TS
- Backend storage
- custom
- Deployment
- Both
- Embedding model
- locked
- Multi-tenancy
- On-premises / private-cloud tenant / fully-managed SaaS — customer choice; Azure-region selectable
- MCP
- no first-party MCP adapter published as of 2026-05; community connectors may exist.
- A2A
- no Google A2A (Agent2Agent) integration documented as of 2026-05.
- OpenTelemetry
- no first-party OpenTelemetry exporter documented; standard logs/metrics typically available.
Similar systems
Other enterprise-search adjacencies in the catalog, ranked by inbound references.
- Algolia (NeuralSearch) T1
NeuralSearch combines vector + keyword via neural hashing — compresses to 1/10th size while retaining 99% info. AI-powered personalisation + recommendations.
- Clarivate T1
Bibliographic metadata curation (Web of Science, Derwent, Cortellis). Human editorial governance + journal-deindexing. Memory-adjacent — included as a curated-knowledge baseline.
- Coveo T1
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 T1
Enterprise search with 100+ connectors. Personalised per-user knowledge graph. No governance layer.
- Lucidworks Conversational Q&A AI Agent T1
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 follow-ups; refuses out-of-scope queries via prompt-injection guard.
- Meilisearch T2
Semantic + hybrid search GA (2025). Automatic embedding generation + caching via OpenAI / HuggingFace / Ollama. Multi-modal (text + images); hybrid rank fusion; conversational RAG built in.