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Solution

Knowledge Search & RAG Systems

Find the right answer across every document, database, and system.


Overview

What this solution is

Enterprise knowledge is fragmented — across SharePoint, Confluence, Notion, email, contracts, and dozens of other systems. Tesseraz builds retrieval-augmented generation (RAG) systems that let your team query across all of it in plain language and get accurate, cited answers.


Common challenges

Business problems this addresses

  • Critical knowledge buried in documents no one can find
  • Employees re-doing research that already exists internally
  • Inconsistent answers to the same question across teams
  • Onboarding slowed by knowledge that lives only in peoples heads
  • Compliance and audit risk from undocumented tribal knowledge

Capabilities

What we build and deliver

  • Multi-source document ingestion and indexing
  • Semantic search with dense and sparse retrieval
  • Citation-backed answer generation
  • Permission-aware retrieval respecting existing access controls
  • Continuous sync with source systems
  • Query analytics and knowledge gap detection
  • Custom UI or API delivery

Use cases

How clients apply this solution

Policy and Compliance Search

A financial services firm had 3,000+ policy documents across 12 systems. We built a unified search system that returns cited answers with source links, reducing compliance team research time by 70%.

Client-Facing Knowledge Base

A professional services firm deployed a RAG system over their engagement deliverables, letting partners answer client questions by searching across past project work rather than starting from scratch.

Product Knowledge Assistant

A hardware manufacturer built a customer-facing assistant that could answer detailed product questions by searching across technical specifications, installation guides, and support ticket history.

Delivery approach

How we deliver this solution

01

Audit

Map all relevant knowledge sources and access patterns

02

Ingestion

Connect, chunk, and index all source content

03

Retrieval

Configure search pipeline with hybrid retrieval and reranking

04

Generation

Tune response quality, citation format, and guardrails

05

Deploy

Production hosting, sync schedule, and analytics setup

Ready to explore Knowledge Search & RAG Systems?

Let us understand your situation and design the right approach for your organization.