Enterprise Commerce & AI Agent Integrations
Anvi Search provides drop-in, zero-downtime integration blueprints for legacy commerce platforms (Oracle ATG & Endeca), modern enterprise systems (SAP Hybris, SFCC, Adobe AEM, Shopify), and autonomous AI agent protocols (Model Context Protocol).
Oracle ATG & Endeca MDEX
Zero-Rewrite Drop-in Migration for ATG 10/11 & Endeca 11.3Replaces legacy Dgraph instances and EAC pipelines while preserving 100% of Experience Manager pages, boost/bury cartridges, and dimension precedence rules.
AI Agents & Model Context Protocol (MCP)
Native Tool Calling for Claude Desktop, Cursor, LangChain & OpenAIStandardized MCP Server implementation (GET /mcp/tools) allowing autonomous AI shopping and enterprise agents to explore catalog dimensions and retrieve products.
SAP Commerce (Hybris)
High-Throughput Solr Replacement for SAP Commerce OCCReplaces resource-heavy Hybris Solr clusters with Anvi Search high-throughput core, supporting multi-catalog versioning, B2B price groups, and multi-tenant facet trees.
Adobe Experience Manager (AEM)
Headless Search & Dynamic Experience Cartridges for AEM CommerceConnects AEM Core Commerce Components directly to Anvi Search via GraphQL and REST endpoints, enabling merchandisers to curate rich content-driven commerce layouts.
Salesforce Commerce Cloud (SFCC)
Hybrid Vector & RAG Power for Salesforce B2B & B2CExtends SFCC with dense vector search, natural language intent decomposition, and zero-leakage in-VPC catalog isolation.
Shopify Plus & Headless Next.js
Blazing Fast Sub-10ms Search for Hydrogen & Next.js CommerceReplaces basic Storefront API search with full-featured enterprise hybrid retrieval, merchandising boost/bury rules, and sub-millisecond typeahead autocomplete.
Oracle ATG & Endeca MDEX Integration
Zero-Rewrite Drop-in Migration for ATG 10/11 & Endeca 11.3Replaces legacy Dgraph instances and EAC pipelines while preserving 100% of Experience Manager pages, boost/bury cartridges, and dimension precedence rules.
Architectural Capabilities & Integration Points
- Drop-in MDEX protocol and query parameter translation (N, Ne, Ntk, Ntt, Ntx).
- Automatic Experience Manager XML export to Anvi Landing Page triggers.
- Preserves existing ATG search form handlers without touching JSP/React storefront code.
- Eliminates Forge/Dgidx batch indexing bottlenecks with real-time CDC updates.
{
"legacy_trigger": "/mens/footwear?N=4294967263&Ntt=waterproof+hiking+boots&Ntk=All",
"anvi_resolved_plan": {
"nav_state": "category:mens > footwear",
"query": "waterproof hiking boots",
"match_mode": "all_partial",
"lexical_branch": { "boost_title": 3.5, "boost_sku": 5.0 },
"vector_branch": { "embedding": "e5-small-v2", "top_k": 100 },
"active_cartridges": ["hero_banner_fall_sale", "promo_waterproof_badge"]
}
}Oracle Endeca (MDEX 11.3)
Single-threaded query processing bound to proprietary MDEX binary. Vulnerable to memory fragmentation.
Brittle XML configuration files running multi-hour monolithic batch crawls.
Proprietary XML rule engine for boost/bury, slotting, and dimension precedence.
Proprietary query parameters embedded in ATG JSP / React storefront form handlers.
Anvi Search Platform
Concurrent multi-threaded C++ / Rust core executing dual BM25 + Vector HNSW retrieval.
Continuous event streaming via Kafka / Debezium with in-memory delta overlays.
1:1 drop-in XML import with real-time audit tracing and explainable rule collision visualizer.
Transparently accepts legacy Endeca query parameters and maps them to hybrid plans.
Dgraph Engine ➔ Stateless In-VPC Hybrid Core
Unpredictable latency spikes under heavy concurrent faceting.
Sub-10ms predictable p99 latency across millions of SKUs with horizontal auto-scaling.
Dynamic Tool Contract Discovery
Agent Tool Execution Call
Hallucination Shield & In-VPC Verification
Grounded Citation Payload Delivery
Dynamic Tool Contract Discovery
The AI Agent queries the MCP gateway to discover active catalog dimensions, available tools, and parameter schemas dynamically without hardcoded prompting.
{
"tools": [{
"name": "catalog_search",
"description": "Hybrid vector + BM25 catalog search with parametric facet filtering.",
"parameters": {
"query": { "type": "string" },
"filters": { "type": "object" }
}
}]
}End-to-End Enterprise Topology
How Anvi Search fits seamlessly into your existing enterprise infrastructure without exposing catalog or customer data to external public SaaS networks:
1. Storefront & Agent Touchpoints
Direct sub-10ms REST, GraphQL, and Model Context Protocol (MCP) endpoints serving Next.js Commerce, mobile apps, ATG JSPs, and autonomous AI assistants.
2. In-VPC Search Core
Stateless high-throughput nodes running dual-branch Lexical BM25 and quantized dense vector embeddings (e5-small-v2) with application-layer RRF fusion.
3. Streaming CDC & Data Feeds
Lane A batch catalog synchronizer, Lane B sub-20ms price/stock CDC, and Lane C relationship graph feeds pulling from ERP, PIM, and Oracle databases.
4. Business Merchandiser Workbench
Single unified interface for visual category tree editing, boost/bury rules, promotional cartridge assignment, and the Resolution Inspector.
Ready to Evaluate Your Migration?
Our automated Endeca and legacy search audit tool analyzes your existing rule complexity, dimension hierarchies, and query logs to provide an empirical migration roadmap.
Request Architecture Assessment →