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AI / Web ApplicationRAG AI Chatbot SaaS

Codiastic AI Assistant

A multi-tenant AI chatbot SaaS that lets businesses train a website and Instagram assistant on their own FAQs, web pages and documents — answering visitors with retrieval-augmented generation (RAG), capturing leads and handing over to humans when unsure.

5User roles designed
2Channels: Website & Instagram
RAGGrounded answers only
1Codebase for every tenant
codiastic-ai-assistant.com
Codiastic AI Assistant
PROJECT OVERVIEW

Transforming Digital Experience for Businesses & Users

Codiastic Soft Pvt. Ltd. designed and engineered the Codiastic AI Assistant — a hosted, multi-tenant AI chatbot platform for small and medium businesses. A business adds its FAQs, website pages and documents; the platform splits that content into passages, indexes it for semantic search and uses retrieval-augmented generation (RAG) so the assistant answers visitors on the business's website — and, in the proposal phase, Instagram DMs — using only the content the business has approved. The engagement covered the product proposal, a fully working interactive wireframe, an MVP specification for five user roles and a complete FastAPI engineering guide for the build.

By applying modern design principles and cutting-edge software architecture, Codiastic Soft engineered a solution that dramatically improved operational efficiency while delivering a world-class user interface.

CLIENT

Codiastic AI Assistant (SaaS product)

INDUSTRY

AI & Automation

PROJECT TYPE

AI Chatbot SaaS Platform · RAG · Multi-Tenant

SERVICES DELIVERED

AI Chatbot DevelopmentRAG & Knowledge Base EngineeringSaaS Product DevelopmentInstagram DM AutomationUI/UX Design & WireframingSolution Architecture

TECHNOLOGY STACK

Next.jsPython FastAPIPostgreSQLpgvectorRedisLLM APIsTailwind CSS
THE CHALLENGE

Giving Small Businesses an AI Assistant They Can Trust With Their Customers

SMBs want to answer customer questions instantly and capture more leads, but generic chatbots either follow rigid scripts or 'hallucinate' answers that are not true for that business. The product also had to be safe to run as a SaaS for many businesses at once.

Answers had to come only from each business's approved content — never invented

Unanswerable questions needed a graceful fallback and a way to teach the assistant

Customers expected the same assistant on their website and on Instagram

Strict tenant isolation was required so one business could never see another's data

Business owners needed to train the assistant themselves without technical help

THE SOLUTION

A Multi-Tenant RAG Chatbot Platform With Self-Serve Training and Human Handover

Codiastic Soft designed a complete product and architecture: an embeddable website widget, a customer dashboard for training and reviewing the assistant, a super-admin console for running the SaaS, and a Python FastAPI backend with background workers for ingestion and retrieval.

Knowledge base of FAQs, web pages, PDFs and text that is parsed, chunked and embedded into a tenant-scoped vector index

RAG answer engine with a configurable confidence threshold, source citations and a fallback message when evidence is missing

Embeddable widget installed with one script tag, with brand colours, suggested questions and allowed-domain checks

Unanswered-questions queue that turns gaps into new knowledge-base entries — no retraining or redeploy needed

Lead capture and human handover when a visitor asks for a person or the assistant is unsure

Instagram DM flow designed through Meta's messaging API using the same answer engine

KEY FEATURES

Core Capabilities & Key Modules

01

Grounded RAG Answers With Sources

Every reply is generated from the business's own indexed passages, with the source shown under the answer and a confidence threshold that triggers a safe fallback.

02

Self-Serve Knowledge Base

Owners add, edit, switch off or delete FAQs, web pages and documents, test a question before customers ask it, and see each source's processing status.

03

Website Widget & Instagram DMs

One assistant serves a lightweight website widget (desktop and mobile) and Instagram direct messages through Meta's API from the same engine.

04

Unanswered Questions & Human Handover

Questions the assistant could not answer confidently are queued for review, and visitors can request a person, creating a support request with their contact details.

05

Dashboard, Analytics & Export

Conversation counts by channel, AI-resolved rate, handovers, most-asked topics, a 7-day trend and CSV/JSON export of conversations and reports.

06

Multi-Tenant SaaS Operations

Owner, editor and viewer roles, per-tenant usage quotas, plan entitlements and a super-admin console for tenants, system health, ingestion jobs and audited access.

TECHNOLOGY

Tech Stack & System Architecture

Frontend & Widget

Next.js (App Router)JavaScriptTailwind CSSEmbeddable Widget

Backend & AI

Python FastAPIRAG PipelineLLM & Embedding APIsProvider AdaptersBackground Workers

Data & Infrastructure

PostgreSQLpgvectorRedis QueueS3-Compatible StorageMeta Messaging API
RESULTS & IMPACT

Measurable Business Outcomes

✓

Working Product Before a Line of Production Code

A fully clickable wireframe let stakeholders ask real questions, see grounded answers, teach the assistant and test handover before development began.

✓

Engineering-Ready MVP Specification

Requirement IDs, five role-based interfaces and a FastAPI development guide covering architecture, tenant isolation, security, testing and deployment gave the team a clear build plan.

✓

Trustworthy AI by Design

Answers limited to approved content, source citations, confidence thresholds and human handover reduce the risk of wrong answers reaching customers.

✓

Reusable SaaS Foundation

One product core serves many businesses through configuration rather than custom forks, ready for pilot customers and future channels.

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