Velaxe
Launch an internal AI assistant with conversation memory | AI Hub

AI Hub

Launch an internal AI assistant with conversation memory

Stand up a chat assistant that stores searchable history, supports ratings, and forks conversations for experiments.

Chat UI
Conversations with memory & ratings

Overview

Stand up a chat assistant that stores searchable history, supports ratings, and forks conversations for experiments.

Problem

Teams use scattered chatbots without history, governance, or shared snippets; knowledge repeats and quality drifts.

Solution

AI Hub’s Chat API persists conversations in SQLite (FTS5), enables 👍/👎 ratings, reusable snippets, and forked threads, all permission-gated.

How it works

Create a conversation, add messages, and search across prior threads with previews. Ratings feed quality signals. Forks let you explore alternative prompts without losing context.

Who is this for

Support Product & Engineering Ops / Enablement

Expected outcomes

  • Reduced duplicate questions and faster answers
  • Higher response quality via ratings and snippets

Key metrics

Avg time to answer internal Qs

Baseline

15 minutes

Target

3 minutes

Helpful rating share

Baseline

60 %

Target

90 %

Gallery

Chat UI
Conversations with memory & ratings

Downloads & templates

Case studies

Ops team boosts first-contact resolution

Searchable chat history cut repeat questions by 52%.

SaaS Mid-market EMEA

Security impact

  • Prompts and assistant replies; no consumer PII by default · PII: none

Compliance

  • GDPR (no personal data by default)
  • SOC2 (audit & access controls)

Availability & next steps

Free Pro Enterprise