Softment Gig
RAG Chatbot with Your Documents
Build a RAG chatbot powered by your own documents, with reliable retrieval and production-focused implementation.
Top Rated on Fiverr • Upwork
Softment Gig
RAG Chatbot with Your Documents
Build a RAG chatbot powered by your own documents, with reliable retrieval and production-focused implementation.
Includes: Document ingestion • Retrieval tuning • Assistant UX • Integration hooks
Includes: source code + handoff notes + Performance checks
Description
RAG Chatbot with Your Documents
Deploy a document-grounded AI assistant that gives useful answers your team can trust. We build retrieval workflows, context controls, and clean UX so the chatbot supports real operations.
Basic
Single-source RAG assistant prototype
Standard
RAG MVP with document ingestion and QA controls
Premium
Multi-source enterprise RAG with integration readiness
What you get
- RAG chatbot architecture and setup
- Document ingestion pipeline basics
- Chunking and retrieval configuration
- Grounded answer and fallback strategy
- Simple feedback and quality workflow
- Auth and access-aware app patterns
- Integration-ready API endpoints
- Delivery notes for ongoing updates
What we need from you
- Sample documents and content formats
- Assistant goals and user scenarios
- Access and permission expectations
- Preferred deployment constraints
Packages
Choose the scope that fits
Basic
$300
Timeline: 2-3 days
- Single-source document chatbot
- Basic retrieval setup
- Assistant UI starter
Standard
$900
Timeline: 7-10 days
- RAG MVP with ingestion flow
- Quality fallback handling
- Auth and usage-ready structure
Premium
$1,800
Timeline: 2-4 weeks
- Multi-source enterprise RAG
- Integration-ready workflows
- Advanced retrieval tuning pass
- Deployment and handoff guidance
FAQ
Common questions before you buy
Can the chatbot use our internal documents only?
Yes. We can scope the assistant to your approved document sources.
Do you support PDF and docs ingestion?
Yes. Common document formats can be included in ingestion workflows.
Can we connect this to Slack or internal portals?
Integration hooks can be scoped depending on your environment.
How do you reduce hallucinations?
We use document grounding, retrieval tuning, and fallback handling patterns.
Can this support role-based access?
Yes. Access-aware patterns can be included for internal users.
Will we get source code and pipeline docs?
Yes. Delivery includes source and practical maintenance guidance.
Can we add more knowledge sources later?
Yes. The architecture is designed for iterative source expansion.
Is this suitable for customer support use cases?
Yes. Support workflows are a common fit for RAG assistants.
Do you provide analytics on queries?
Basic analytics can be added depending on package scope.
Can we start small and scale to enterprise use?
Yes. You can validate in Basic/Standard and scale through Premium.
Need custom scope?
Talk to us before checkout
If your scope is larger than a package, we'll map a custom estimate and timeline.