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Case Studies
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Insights

Bacancy’s Insights from Building RAG Applications with Vertex AI for a UK-Based Client

July 16, 2026

Bacancy’s Insights from Building RAG Applications with Vertex AI for a UK-Based Client

By : Pratik Panchal

This guide shares Bacancy's experience building RAG applications with Vertex AI for a UK-based healthcare organization. Explore the complete development process, practical engineering decisions, and...

How We Set Up AWS Data Integration That Pulled a Client’s Six Source Systems Into One Pipeline

July 15, 2026

How We Set Up AWS Data Integration That Pulled a Client’s Six Source Systems Into One Pipeline

By : Mehul Budasna

This article will take you through how we created a data integration pipeline using AWS for a client whose business ran on six systems with...

RAG on Databricks: 5 Problems We Faced in Production and How We Solved Them

July 14, 2026

RAG on Databricks: 5 Problems We Faced in Production and How We Solved Them

By : Supan Shah

Building a RAG assistant on Databricks is easy to start but hard to get right in production. This insight covers the five problems we ran...

How Bacancy’s AI Integration Strategies Help Businesses Turn AI Into a Working Capability

July 10, 2026

How Bacancy’s AI Integration Strategies Help Businesses Turn AI Into a Working Capability

By : Ravi Nandani

In this article, we'll look at why AI actually delivers results in 2026, and the short answer is integration, not the model you choose. A...

How We Handled Authentication and RBAC Across a Full-Stack Fintech SaaS

July 9, 2026

How We Handled Authentication and RBAC Across a Full-Stack Fintech SaaS

By : Chandresh Patel

This insight covers how Bacancy rebuilt authentication and RBAC across a full-stack fintech SaaS already live in production. It explains where access control was breaking,...

How We Used Generative AI for Data Analytics That Let a Client’s Ops Team Query Snowflake in Plain English

July 8, 2026

How We Used Generative AI for Data Analytics That Let a Client’s Ops Team Query Snowflake in Plain English

By : Supan Shah

Generative AI for data analytics lets a non-technical team query a data warehouse in plain English by turning their questions into SQL, but in production...

The Three AI Layer Approach: How Bacancy Meets Rising Client Expectations

June 24, 2026

The Three AI Layer Approach: How Bacancy Meets Rising Client Expectations

By : Ravi Nandani

Most AI projects fail because of broken architecture, not the wrong model. This article breaks down Bacancy's three-layer AI framework covering Data, LLM, and Application....

We Tested 10 Open Source Vector Databases for RAG Against Enterprise Workloads

June 19, 2026

We Tested 10 Open Source Vector Databases for RAG Against Enterprise Workloads

By : Supan Shah

Not all vector databases are built for the same workloads. In this article, we compare 10 open-source vector databases, explain the criteria used to evaluate...

How We Scaled A Legacy App With jQuery To Vue 3 Migration

June 18, 2026

How We Scaled A Legacy App With jQuery To Vue 3 Migration

By : Nikita Sakhuja

This insight walks through a jQuery to Vue 3 migration that Bacancy delivered for a US logistics SaaS company whose shipment-tracking dashboard had outgrown its...

How We Configured a Local LLM Vibe Coding Environment That Actually Worked in Production

June 17, 2026

How We Configured a Local LLM Vibe Coding Environment That Actually Worked in Production

By : Rudrax Variya

This article walks through a real local LLM vibe coding setup we configured for a healthcare client who could not send their codebase anywhere near...

How Bacancy Automated Incident Response With Azure SRE Agent for an Australia-based Client?

June 16, 2026

How Bacancy Automated Incident Response With Azure SRE Agent for an Australia-based Client?

By : Mehul Budasna

This insight explains how Bacancy set up Automated Incident Response with Azure SRE Agent for an Australia-based SaaS company running container apps on Azure, handling...

How We Cut a Client’s LLM Token Costs by 72% with Caching, Compression, and Batching

June 15, 2026

How We Cut a Client’s LLM Token Costs by 72% with Caching, Compression, and Batching

By : Nayan Gajjar

Scaling an AI application often reveals hidden costs that prototypes fail to expose. In this article, we share how Bacancy approached LLM cost optimization by...