Enterprise RAG

Knowledge systems governments trust

On-premise

Deployment option

100%

Answer citations

PostgreSQL

No vector DB vendor

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The Problem

Enterprise knowledge is locked in documents that AI cannot access reliably

Most RAG implementations use simple vector search that misses exact matches. They cannot cite sources reliably. They cannot run on-premise. They cannot isolate data between departments. They fail compliance audits. Governments and regulated enterprises cannot deploy them.

Our Approach

Hybrid retrieval on PostgreSQL — no proprietary vector database

  • Hybrid retrieval: BM25 (ParadeDB) + pgvector semantic + Apache AGE graph — all on PostgreSQL
  • RRF fusion (k=60) with reranking — combines keyword, semantic, and graph signals
  • Jina v4 asymmetric embeddings — separate query and passage LoRA adapters
  • Every answer includes citations to source documents — auditable, verifiable, defensible
  • Multi-tenant with PostgreSQL RLS — complete data isolation between departments and clients
  • Langfuse observability — full query audit trail, latency monitoring, answer quality tracking
  • On-premise deployment — data never leaves your servers, CISO-approvable architecture

Production Proof

MetricBeforeAfter
Deployment modelCloud-only (Pinecone, Weaviate)On-premise or cloud
Answer citationsNone or unreliable100% — every answer cites source
Vector DB vendorPinecone/Weaviate dependencyPostgreSQL — no new vendor
Multi-tenancyShared index (data leakage risk)RLS-enforced isolation
Audit capabilityNo query audit trailFull Langfuse audit log
Active deploymentN/AGovernment IGST evaluation — active

Tech Stack

PostgreSQLpgvectorParadeDBApache AGEJina v4LangfuseFastAPILangGraph

Deployment Options

  • On-premise — complete isolation, CISO-approvable, air-gapped environments supported
  • Private cloud — VPC-isolated deployment in your own cloud account
  • Managed cloud — we operate, you own the data and schema

Pricing

Implementation fee + monthly maintenance. Contact for enterprise and government pricing.

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Frequently Asked Questions

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