Blog
Guides, playbooks and engineering notes
How to build, ship and operate AI chatbots that actually answer — with citations, honest limits and real numbers.
- Company
What Onzira Labs is really building
We're not just a chatbot company. Here's the broader thesis — AI-native software for verticals that traditional SaaS ignored.
Deepak Gupta · Sep 6 · 4 min read
- Company
How we shipped Anserra from empty repo to production in a week
Engineering notes on the tech stack, the traps that cost time, and what we'd do differently.
Deepak Gupta · Sep 6 · 4 min read
- Company
10 things we learned shipping Anserra to production
The lessons that don't fit in code comments — pricing, positioning, onboarding, honesty, and the mistake that cost us three days.
Deepak Gupta · Sep 6 · 3 min read
- Use cases
The e-commerce chatbot playbook for 2026
How Shopify, WooCommerce and headless commerce teams use AI chatbots for conversion, not just support. Product finder, size guides, checkout recovery, honest limits.
Deepak Gupta · Sep 6 · 4 min read
- Guides
How to train a chatbot on your help centre (2026 guide)
Step-by-step: turn a public help centre into a chatbot that deflects tickets. Crawl configuration, chunking, testing and the failure modes to expect.
Deepak Gupta · Sep 6 · 4 min read
- Guides
Custom GPT vs RAG chatbot: which do you actually need?
A ChatGPT Custom GPT and a RAG chatbot solve overlapping problems. Here is what each is really good for, and where they hurt.
Deepak Gupta · Sep 6 · 3 min read
- Guides
The 8 questions to ask before you buy an AI chatbot
A cut-out-and-keep buyer's checklist. Vendors gloss over these — get the answers in writing before you sign.
Deepak Gupta · Sep 6 · 4 min read
- Engineering
pgvector vs Pinecone in 2026: when each wins
A pragmatic comparison of Postgres pgvector against Pinecone for production RAG. Pricing, latency, filtering, hybrid search and what breaks under load.
Deepak Gupta · Sep 6 · 4 min read
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