Blog
Blog
233 articles on building, governing, and measuring enterprise AI: agents, retrieval, workflows, security, MLOps, and department playbooks.
ai · 1 min
Voice Agents: Architecture for Real-Time Speech-to-Speech
Speech-to-speech AI is finally production-ready. Here is the Bhogar AI reference architecture for sub-500 ms voice agents that handle interruptions gracefully.
April 11, 2026
engineering · 1 min
Workflow Versioning and Rollback Without Downtime
Workflows change. Versioning and atomic rollback are the difference between a calm deploy and a war room. Here is how Bhogar AI ships them.
April 10, 2026
engineering · 1 min
Citations and Source Attribution: Building Trust in RAG Answers
Citations turn RAG from a confident hallucinator into a trustworthy assistant. Here is how Bhogar AI implements verifiable per-claim citations.
April 10, 2026
ai · 1 min
Browser-Using Agents: Letting AI Drive Real Web Apps
Browser-using agents unlock automation for systems with no API. Here is how Bhogar AI runs them safely at scale, with sandboxing and human-in-the-loop fallbacks.
April 10, 2026
engineering · 1 min
Announcing Go & Java SDKs: BhogarAI Now Supports 4 Languages
Expanding our SDK ecosystem with idiomatic Go and Java clients - complete with retry, streaming, and type safety.
April 10, 2026
engineering · 1 min
Event-Driven AI: Wiring Workflows to Kafka, SQS and Pub/Sub
Event-driven AI scales beyond what request/response can. Here is how Bhogar AI consumes Kafka, SQS and Pub/Sub safely and at scale.
April 9, 2026
engineering · 1 min
Keeping RAG Fresh: Incremental Indexing and Change Capture
A stale RAG system is a worse-than-useless RAG system. Here is how Bhogar AI keeps your knowledge base fresh without rebuilding everything every night.
April 9, 2026
ai · 1 min
Coding Agents: From Autocomplete to Pull Request
Coding agents are evolving from autocomplete into autonomous engineers. Here is how Bhogar AI structures coding agents so they ship reviewable PRs, not chaos.
April 9, 2026
engineering · 1 min
Batch ETL with AI Steps: Patterns That Hold at Scale
Adding LLM steps to nightly ETL sounds easy and quietly fails at scale. Here is how Bhogar AI keeps batch AI pipelines reliable and predictable.
April 8, 2026
engineering · 1 min
Multilingual RAG: Building Knowledge Bases That Cross Languages
Global customers ask in their language; your docs are in English. Multilingual RAG bridges the gap. Here is how to ship it without doubling your indexing bill.
April 8, 2026
ai · 1 min
Research Agents: Building Reliable Knowledge Workers
Research agents that gather, synthesise and cite. Here is the architecture Bhogar AI uses to deliver research outputs analysts actually trust.
April 8, 2026
engineering · 1 min
Workflow Observability: Tracing Every AI Step
AI workflows fail in surprising ways. Distributed tracing turns surprise into evidence. Here is how Bhogar AI traces every step end-to-end.
April 7, 2026
engineering · 1 min
Query Rewriting: The Easiest 10-Point Recall Boost in RAG
Users ask short, ambiguous questions. Query rewriting makes them retrievable. Here is how Bhogar AI ships query rewriting with zero added latency.
April 7, 2026
use-cases · 1 min
Sales Agents: Outbound, Discovery and Close Support
Bhogar AI sales agents help reps prospect, prep, write and follow up - without ever sending a message a human did not approve.
April 7, 2026
product · 1 min
Workflow Cost Attribution: Knowing What Each Run Costs
Knowing the cost of every workflow run is the foundation of AI cost control. Here is how Bhogar AI breaks down cost per workflow, per tenant and per provider.
April 6, 2026
engineering · 1 min
RAG Evaluation: Metrics That Actually Predict Production Success
Recall@k is necessary but insufficient. Here are the four metrics Bhogar AI tracks per knowledge base - and the eval harness that calculates them automatically.
April 6, 2026
use-cases · 1 min
Customer Support Agents: From Tier-1 Deflection to Hybrid Resolution
A practical playbook for support agents that resolve tier-1 tickets, escalate gracefully and keep your CSAT moving in the right direction.
April 6, 2026
security · 1 min
Approval Workflows for Sensitive AI Actions
Sending an email, paying a vendor, granting access - AI agents must not do these alone. Here is how Bhogar AI enforces approvals without killing speed.
April 5, 2026
engineering · 1 min
Semantic Caching: Cutting RAG Latency and Cost by 40%+
Semantic caches return cached answers for paraphrased questions. Here is how Bhogar AI implements semantic caching with consistency guarantees.
April 5, 2026
use-cases · 1 min
Recruiting Agents: Sourcing, Screening and Scheduling
Recruiting agents that respect candidate experience, eliminate scheduling thrash and surface the best matches from your ATS - without compliance risk.
April 5, 2026
engineering · 1 min
Idempotency in AI Workflows: Why It Matters and How to Get It Right
Re-runs happen - retries, replays, manual reruns. Idempotent workflows survive them gracefully. Here is the pattern Bhogar AI uses everywhere.
April 4, 2026
engineering · 1 min
Parent-Document Retrieval: Small Chunks, Big Context
Retrieve on small chunks for precision, return parent documents for context. The technique Bhogar AI uses to make RAG answers feel complete.
April 4, 2026
use-cases · 1 min
Finance Agents: AP Automation, Reconciliation and FP&A Support
Finance agents that read invoices, reconcile statements and prepare variance commentary - with the controls a CFO will actually approve.
April 4, 2026
product · 1 min
Drag-and-Drop Workflows for Non-Engineers: Lessons From Real Rollouts
Empowering ops, marketing and finance to build workflows works - with the right guardrails. Here is what we learned from 200+ enterprise rollouts.
April 3, 2026