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Manufacturers with tribal knowledge in PDFs
Plants whose process sheets and old emails hold answers that new engineers cannot find without a senior.
Service Overview
Generative AI and LLM Integration
Techno Infonet helps businesses integrate generative AI and large language models into applications, ERP, CRM, portals, support systems and internal workflows.
A private LLM for company documents is retrieval plus permissions, not a public chat window pasted on the intranet. Integration work in Ahmedabad begins with which shares, ERP notes and PDFs people already search by walking to a senior. Those sources are indexed with access lists copied from your folders, so a trainee does not see costing sheets. Generative answers cite the file they used. Techno Infonet typically places the API in Laravel or .NET in front of the model so Giggles ERP screens or a helpdesk can call the same service. If drawings cannot leave the plant, the model runs on a GPU box you own.
Chunking and metadata matter more than the brand of the model. Item codes, party names and policy dates are stored as filters so a query about a 2022 circular does not mix with this year's GST note. Evaluation uses questions your staff actually ask, timed against how long a colleague currently spends hunting. The Sarkhej team sets retention for prompts and answers according to your legal hold, which healthcare and finance clients require. Upgrades swap the model behind the same contract, so a later open-source release does not force a UI rewrite. That is the practical meaning of generative AI and LLM integration for a Gujarat mid-market firm.
Generative AI and LLM Integration is delivered by the Ahmedabad team at Techno Infonet, with structured discovery, development, QA and post-launch support. Related work includes custom software development, project FAQs and a free consultation. If you are searching locally, see our software development company in Ahmedabad page.
Typical clients
Who should integrate a private LLM on company files
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Hospitals with policy and SOP libraries
Quality teams that need cited answers from controlled documents rather than an open internet model.
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Professional firms with matter archives
Consultancies that want staff to query past deliverables with client-level isolation.
Practical Applications
How This Service Can Be Used
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LLM Integration in Existing Software
Add AI summaries, search, drafting or assistant features to current applications.
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Document-Based AI Search
Use RAG to answer questions from approved business documents and knowledge sources.
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Generative AI Workflow
Generate drafts, summaries, reports and recommendations with human review.
Connectivity
Integration Options
OpenAI API
Open-source LLMs
Vector Database
ERP
CRM
Documents
REST API
Cloud Hosting
Technical Capabilities
Generative AI Technology Stack
LLM
RAG
Vector Search
Python
Laravel
REST API
Prompt Engineering
Private AI Server
Generative AI Use Cases
Where LLM Integration Helps
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Knowledge Search
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Customer Support
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Reporting
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Sales
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HR
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Finance
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Document Processing
Delivery Method
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How We Deliver
Use-case and data review
LLM selection and architecture
Prompt and retrieval design
Prototype integration
Testing and safety checks
Deployment and monitoring
Engagement Options
AI Pilot
Fixed Scope
Dedicated Team
Maintenance & Support
Frequently Asked Questions
Generative AI and LLM Integration FAQs
Common questions about scope, delivery, integration and support.
Can you integrate OpenAI API?
Yes. OpenAI API or suitable open-source LLMs can be integrated based on business, data and hosting requirements.
Can LLM output be reviewed before final use?
Yes. Human approval and validation steps can be added wherever required.
Can we run the LLM on-premise in Gujarat?
Yes. Private GPU or CPU inference is a standard option when source files cannot leave the building. Cloud models are used when contracts allow and redaction is in place.
Will the LLM invent GST or policy answers?
We constrain answers to retrieved passages and show citations. If nothing relevant is found, the system says so. Statutory numbers still come from ERP masters, not from generated text.
Can we start Generative AI and LLM Integration with a team in Ahmedabad?
Yes. The delivery team is based in Ahmedabad and works with clients across Gujarat, India and other countries through requirement workshops, documentation, staging reviews and scheduled calls.
How do we begin a Generative AI and LLM Integration project?
Share the current workflow, users, integrations and expected outcome. We review the requirement, suggest a practical approach, and confirm scope, timeline and commercial terms before development starts.
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