Does Artiplane replace our vector database or enterprise search?

No. It can use an approved retrieval platform through its APIs and adds fashion semantics, orchestration, policy and operational evidence around it.

Is every listed platform connected out of the box?

The integration pattern is available, but production readiness depends on the customer edition, region, APIs, licenses, network, identity model and security review.

Where are permissions enforced?

At the source where possible, again in retrieval filters, and at Artiplane tool and process policy boundaries. Post-generation masking is not a substitute for retrieval-time enforcement.

Can one answer use multiple RAG systems?

Yes, through federated retrieval with per-source budgets and permission filters. Results are normalized, deduplicated and reranked without losing source provenance.

How is hallucination measured?

With faithfulness and citation-completeness tests against retrieved evidence, plus refusal tests when evidence is insufficient. No single metric proves safety.

← Resources

RESOURCE 01 · KNOWLEDGE

Enterprise RAG that preserves permissions, provenance and operational context.

Artiplane does not require a new vector stack. It can orchestrate retrieval over the enterprise platforms already selected by IT, then bind grounded evidence to fashion semantics, processes and governed actions.

01Hybrid retrieval

02ACL before generation

03Citations and evidence

04Evaluation by decision

Sources + ACL

In this resource

01From source to answer, every boundary remains explicit.02Connect the RAG estate IT already governs.03Retrieval is authorised before generation.

REFERENCE ARCHITECTURE

From source to answer, every boundary remains explicit.

A production RAG system is a controlled information pipeline—not a chatbot pointed at a folder.

Ingest and parse

SOURCE → DOCUMENT → VERSION

Connect repositories, operational records and approved feeds; preserve source ID, version, owner, language, timestamps and access-control metadata. Parsing is format-aware and failures enter a replayable queue.

Chunk and enrich

TEXT + FASHION CONTEXT

Segment by semantic boundary rather than fixed length alone. Add product, style, season, market, channel, process and confidentiality metadata before embedding.

Index and retrieve

HYBRID → FILTER → RERANK

Combine lexical and vector retrieval, metadata filters and optional graph relations. Apply tenant and identity filters before ranking; rerank only candidates the caller may access.

Ground and cite

EVIDENCE → ANSWER → CITATION

Build a bounded evidence pack with stable source pointers. The model must distinguish evidence, inference and missing information, and every material claim links back to its source.

Evaluate and operate

TEST SET → GATE → RELEASE

Track retrieval recall and precision, faithfulness, citation completeness, permission compliance, freshness, refusal quality, latency, cost and business outcome. Failed evaluations block promotion.

PLATFORM ADAPTERS

Connect the RAG estate IT already governs.

Adapters are configured against the customer tenant and service APIs. Availability never implies that licenses, credentials or production access are already present.

Azure AI Search

REST/SDK · ENTRA ID · HYBRID

Query keyword, vector or hybrid indexes through Azure APIs; map Entra identities and source ACL metadata into security filters. Validate index schema, semantic ranker tier, private networking and service limits.

Amazon Bedrock Knowledge Bases

AWS API · IAM · MANAGED RETRIEVAL

Invoke managed retrieval or retrieval-and-generation APIs using scoped IAM roles. Preserve metadata filters and citations; validate supported data source, vector store, model region and guardrail configuration.

Vertex AI Search / RAG Engine

GOOGLE CLOUD API · IAM · CORPORA

Use Google Cloud service accounts and regional endpoints for retrieval over approved corpora. Map enterprise identity, datastore access and metadata constraints before exposing a tool to a Digital Worker.

Databricks Mosaic AI Vector Search

REST/SDK · OAUTH · UNITY CATALOG

Query indexes governed by Unity Catalog and, where selected, synchronize Delta tables. Validate endpoint type, embedding compatibility, row filters and workspace/network boundaries.

Snowflake Cortex Search

SQL/REST · RBAC · SEARCH SERVICE

Access search services under Snowflake role controls, warehouse and network policies. Maintain source keys and filter attributes so retrieved passages remain traceable to governed tables.

Open search and vector stores

QUERY ADAPTER · METADATA · TELEMETRY

Elasticsearch/OpenSearch, Pinecone, Weaviate and PostgreSQL/pgvector can be exposed through scoped query adapters. Artiplane normalizes query, filter, score, citation and telemetry contracts; deployment and ACL semantics remain platform-specific.

LangChain and LlamaIndex

CALLABLE TOOL · SCHEMA · POLICY

Existing retrievers and tools can be wrapped as governed capabilities where their runtime exposes a stable callable contract. They are application frameworks, not identity or governance substitutes.

SECURITY & QUALITY

Retrieval is authorised before generation.

The minimum control plane includes tenant isolation, least-privilege credentials, encrypted transport, secret references, document-level ACLs, retention, deletion propagation and immutable evidence identifiers.

Permission intersection

The effective scope is the intersection of user, Digital Worker, process, market, brand, purpose and source permissions. A model cannot widen it.

Freshness and deletion

Incremental sync uses source versions or change signals. Tombstones propagate removals; stale indexes are visible and can be excluded from retrieval.

Evaluation gates

Golden questions, adversarial permission tests and citation checks run before activation and after material changes to source, chunking, embedding, retrieval or model.

Continue through the architecture

Knowledge → systems → process → orchestration → experience.

Enterprise RAG & Knowledge Artiplane System Connectors Artiplane Process Engine Digital Worker & Orchestrator Worker App Builder

Technical FAQ

01Does Artiplane replace our vector database or enterprise search?: No. It can use an approved retrieval platform through its APIs and adds fashion semantics, orchestration, policy and operational evidence around it.
02Is every listed platform connected out of the box?: The integration pattern is available, but production readiness depends on the customer edition, region, APIs, licenses, network, identity model and security review.
03Where are permissions enforced?: At the source where possible, again in retrieval filters, and at Artiplane tool and process policy boundaries. Post-generation masking is not a substitute for retrieval-time enforcement.
04Can one answer use multiple RAG systems?: Yes, through federated retrieval with per-source budgets and permission filters. Results are normalized, deduplicated and reranked without losing source provenance.
05How is hallucination measured?: With faithfulness and citation-completeness tests against retrieved evidence, plus refusal tests when evidence is insufficient. No single metric proves safety.

Enterprise RAG & Knowledge

A technical guide to enterprise RAG architecture, ACL-aware retrieval, evaluation, citations and integration with leading search and vector platforms.

Explore Artiplane