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HFS Research builds multi-agent reasoning system for complex queries
Case Study · HFS Research

HFS Research builds multi-agent reasoning system for complex queries

Faster decision-making Improved relevance Scalable architecture
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About the company

HFS Research is a leading global analyst firm covering IT services, enterprise technology, and business operations. With a repository of over 4,000 research assets, including reports, analyst notes, and transcripts, HFS provides deep insights into emerging trends, vendor strategies, and market shifts.

The challenge

The problem statement

01

Limited reasoning in traditional search

Conventional search systems retrieved isolated documents but failed to interpret query intent, synthesize insights, or group related findings.

02

Inconsistent metadata

Incomplete or missing tags for authors, publish dates, and research types made filtering and retrieval unreliable.

03

Inability to handle varied query types

From author-specific lookups to recency-sensitive insights, the system struggled to adapt responses to different research needs.

04

The approach

How Lyzr solved it

HFS partnered with Lyzr to design a multi-agent architecture that classified queries, routed them to the right knowledge base, and generated precise, cited responses.

Intent-based routing

Classified whether a query required a summary, deep dive, or author-specific lookup.

Specialized knowledge bases

Metadata & Summary KB: For quick filtering and contextual summaries Full Research KB: For deep semantic retrieval Author-Document Map KB: For accurate author-based lookups Offset KB: For organizational and support questions

Metadata Generator Agent

Parsed 4,000+ documents, auto-tagged 29 parameters, and fixed missing fields in a weekend.

Layered retrieval

Combined freshness scoring with semantic matching to balance recent and relevant results.

Results

The outcome

Faster decision-making

Queries are now resolved in seconds with precise, verified responses.

Improved relevance

Balanced retrieval ensures both the latest and most contextually relevant insights.

Scalable architecture

Metadata enrichment and multi-agent design allow expansion across new content types and domains.

How Lyzr builds enterprise AI on AWS
Behind the scenes

How Lyzr builds enterprise AI on AWS
Security

How Lyzr handled security

01

Compliance

Lyzr Agent Platform is SOC2, GDPR, and ISO 27001 compliant, ensuring enterprises can run their critical workloads safely.

02

Data Residency

The data resides within the customer's own cloud, ensuring 100% ownership and adherence to data residency requirements.

03

Reflection

Lyzr's reflection module reduces the chances of hallucination. This feature is enabled in most critical applications for higher accuracy.

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