PulseAugur
EN
LIVE 16:04:42

Developer builds free portfolio chatbot with Gemini Flash and Supabase

By PulseAugur Editorial · [1 sources] ·

A developer has created a portfolio chatbot using Google's Gemini 1.5 Flash model and Supabase's pgvector for its free tier capabilities. This setup allows the chatbot to answer questions about the developer's projects and experience without incurring any costs. The architecture leverages Gemini's free tier for LLM and embeddings, Supabase for vector storage, and Langfuse for observability, all hosted on Vercel's free tier. AI

IMPACT Demonstrates cost-effective AI application development, enabling personalized chatbots without significant infrastructure investment.

RANK_REASON The article describes the creation of a specific application (a portfolio chatbot) using existing AI models and services, rather than a new model release or significant industry event.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer builds free portfolio chatbot with Gemini Flash and Supabase

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The article describes the creation of a specific application (a portfolio chatbot) using existing AI models and services, rather than a new model release or significant industry event.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
113 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Rahul Gehlot ·

    How to Build a Portfolio Chatbot With RAG on the Free Tier

    <blockquote> <p><em>Gemini Flash + Supabase pgvector + Langfuse = a fully functional RAG chatbot with observability that costs exactly zero dollars.</em></p> </blockquote> <h2> The Thesis </h2> <p>I wanted a chatbot on my portfolio that could answer questions about my projects, s…

RELATED ENTITIES

RELATED TOPICS