Configurable RAG and Agentic Platform for Enterprise Vertical Applications
Enterprise control plane for content ingestion, retrieval-augmented generation, and governed agentic execution.
What is DAILOGUE?
DAILOGUE is an enterprise GenAI platform that provides configurable RAG retrieval, agentic workflow orchestration, and governed content processing. It uses a 5-level tenant hierarchy (platform, application, customer, organization, project) to enforce policy inheritance, so each scope can tune model routing, retrieval strategy, and approval controls independently. The platform supports multiple LLM providers (OpenAI, Anthropic, Google, Mistral), hybrid retrieval with reranking, and human-in-the-loop agent supervision.
15+
Source Adapters
5
Tenant Hierarchy Levels
4+
LLM Providers
9
API Operation Groups
5
RAG Strategy Patterns
6
Pipeline Stages
Platform Architecture
Policy-driven architecture with configurable processing, LLM, RAG, and agent modules tuned for cost, quality, groundedness, and performance.
Ingest from enterprise sources
Connect files, web, APIs, and feeds with governed extraction and source controls.
Process and enrich content
Apply policy-aware normalization and enrichment for reliable downstream retrieval.
Vectorize and index at scale
Generate embeddings and maintain retrieval-ready indexes for high-throughput workloads.
Run advanced RAG strategies
Tune hybrid retrieval and reranking profiles for grounded responses.
Orchestrate agent workflows
Run governed multi-step automation for reporting and publication workflows.
Govern with enterprise controls
Enforce tenant isolation, RBAC, observability, and auditable operations by default.
- Ingestion and Processing
Collect, normalize, and validate enterprise data before retrieval.
- • Source adapters for files, web, APIs, and feeds
- • Policy-driven chunking, metadata, and enrichment
- • Quality gates for regulated content readiness
- LLM Orchestration
Route models and prompts through configuration and policy.
- • Provider and model routing controls
- • Prompt policy and guardrail settings
- • Cost, quality, and latency profile selection
- Retrieval and RAG
Ground outputs using hybrid retrieval and context composition.
- • Vector + keyword retrieval strategies
- • Reranking and contextual compression
- • Evaluation-ready relevance instrumentation
- Agentic Execution
Automate business workflows with human checkpoints and controls.
- • Workflow templates for publication and reporting
- • Role-aware approval and review checkpoints
- • Future-ready tool-use and computer-use tracks
Step 1
Ingest
Collect raw data across sources and tenants.
Step 2
Process
Normalize, enrich, and prepare content for indexing.
Step 3
Chunk + Embed
Generate embeddings using configurable model policies.
Step 4
Index
Store vectors and metadata for low-latency retrieval.
Step 5
Retrieve + Rerank
Assemble grounded context using hybrid search patterns.
Step 6
Agentic Execute
Run governed workflows for output generation and review.
Configuration-Driven Extensibility
Choose and swap libraries, model families, and execution strategies through configuration policies.
| Module | Configurable Controls | Business Result |
|---|---|---|
| Processing | Chunking, enrichment, metadata extraction, and policy gates | Reliable input quality for downstream workflows |
| LLM | Provider/model routing, prompt policies, and fallback strategy | Cost-quality-latency balancing by use case |
| RAG | Hybrid retrieval, reranking, and context assembly techniques | Higher retrieval precision and grounded responses |
| Agents | Workflow graphs, tool permissions, and review checkpoints | Secure automation with human oversight |
Configurable Ecosystem
Configure model providers, RAG strategy profiles, reranking, and orchestration policies without rewriting application code.
Examples: OpenAI, Claude, Gemini, Mistral, Voyage reranking, and LangGraph-style orchestration.
Decision Axis
Cost
Choose efficient libraries and model routes for predictable unit economics by workload.
Decision Axis
Quality
Prioritize relevance, grounded output quality, and auditability for regulated scenarios.
Decision Axis
Performance
Maintain throughput and latency targets with scalable, resilient orchestration defaults.
Future-Ready by Configuration
- • Swap providers, libraries, and models through policy configuration, not code rewrites
- • Evolve RAG strategy per application and tenant while preserving shared governance
- • Run evaluation and observability loops to continuously improve quality and groundedness
Vertical Application Plan
Shared platform architecture powers each vertical while teams configure workflows and policies per domain.
Automated GenAI Newsletter
Early AccessBuild source-to-publication editorial workflows with ingestion, retrieval, drafting, and human review.
- • Weekly intelligence digests
- • Editorial calendar automation
Sustainability
In DevelopmentSupport ESG intelligence and reporting through policy-aware retrieval and narrative generation.
- • Regulatory landscape tracking
- • Sustainability reporting workflows
Legal
In DevelopmentEnable contract and policy analysis through clause-level retrieval and grounded assistant flows.
- • Contract and policy retrieval
- • Regulatory change summaries
Finance
In DevelopmentOperationalize financial document intelligence for reporting and controlled narrative automation.
- • Financial document intelligence
- • Risk and compliance narratives
Product Showcase
Screenshots are based on the current Platform Admin design language and include in-development previews.
Ingestion Operations
Built TodayCurrent ingestion jobs and source controls from Platform Admin.
Retrieval and Curated Content
Hybrid PreviewCurated content flow with retrieval-quality overlays and operational monitoring.
Agent Workbench
Vision PreviewIn-development operational view for supervised agent workflows and approvals.
Operational State Handling
Loading, ready, empty, and error state patterns used across platform workflows.
Roadmap
Delivery sequence for platform maturity, vertical acceleration, and broader automation capabilities.
March 2026
Now
- • Production-ready ingestion, processing, indexing, and retrieval layers
- • Configurable model and RAG strategy framework
- • Agentic workflow supervision with human-in-the-loop controls
April 2026 - June 2026
Next
- • Vertical accelerators for newsletter, sustainability, legal, and finance
- • Expanded workflow templates for reporting and publication
- • Deeper quality instrumentation for retrieval and generation outcomes
July 2026 - September 2026
Then
- • Progressive tool-use assistants for targeted business workflows
- • Computer-use enablement where model confidence and controls are sufficient
- • Broader enterprise automation patterns with governance-by-default
Built for Enterprise Adoption
Platform controls are designed for private enterprise adoption today, with API docs and interactive API explorer available in controlled internal environments.