Knowledge Base Chatbots
Customer and employee assistants that answer from your documentation with sources.
RAG Development
AI That Answers From Your Own Data
Limbani Softwares builds retrieval-augmented generation (RAG) systems: AI chatbots, assistants and search that answer questions from your documents, knowledge base and databases, with citations and access control. We handle ingestion, chunking, embeddings, vector search, grounding and evaluation, then integrate the result into your website, app or internal tools.
Talk to Expert
Quick answer
What is RAG and when should a business use it?
RAG (retrieval-augmented generation) lets an AI model answer questions using your own documents and data: it retrieves the most relevant passages first, then writes an answer grounded in them, with citations. Use RAG when answers must reflect specific, changing information policies, product docs, contracts or a knowledge base. Limbani Softwares builds RAG chatbots and search with access control and evaluation.
How to choose the best RAG development company
- Ask how retrieval is evaluated. Good teams measure whether the right passages are found and whether answers stay grounded, not just whether the demo looks good.
- Check access control. Users should only retrieve documents they are allowed to see.
- Avoid "zero hallucination" promises. No one can guarantee it; look for grounding, citations, refusal behaviour and monitoring instead.
- Confirm code and IP ownership. You should own the source code, designs and cloud accounts, with an NDA in place before you share sensitive details.
RAG DEVELOPMENT SERVICES
Reliable answers from your documents, built by our RAG engineers.
Large language models are powerful but don't know your business. RAG connects them to your own content so answers are accurate, current and traceable to a source document.
We connect PDFs, websites, help centres, Google Drive, Notion, databases and APIs, clean the content and split it into well-structured chunks with metadata so the right passages can be found.
We choose the embedding model and vector database (such as pgvector or a managed vector store) that fit your scale and budget, and combine semantic and keyword search with re-ranking for better retrieval.
Prompts instruct the model to answer only from retrieved context, cite sources and say when it doesn't know. Access control ensures each user only sees content they are allowed to.
We test retrieval quality and answer accuracy on real questions before launch, then monitor answers, latency and token cost in production and improve the knowledge base over time.
Trusted by startups, enterprises, and technology leaders for reliable delivery and long-term partnerships.
Get a Free ConsultationSince 2019, Limbani Softwares has partnered with growing businesses to deliver reliable, scalable software and AI solutions. Our approach is grounded in technical excellence, transparent collaboration, and long-term value creation.
Why teams choose Limbani Softwares for RAG development:
At Limbani Softwares, we combine technical excellence with business strategy to deliver measurable outcomes.
We take a partnership approach to every project. From initial concept to post-launch support, our team works closely with yours.
Since 2019, our in-house team has delivered 150+ projects for 18+ clients worldwide, with a 96% client retention rate.
Capabilities & Features
Semantic Search
Search that understands meaning, not just keywords, across your content.
Document Q&A
Ask questions across contracts, policies, manuals and reports.
Access-Controlled Retrieval
Role-based filtering so users only retrieve what they are permitted to see.
LLM Integration
Works with leading LLM APIs and open-source models.
Quality Monitoring
Dashboards for answer quality, usage and cost in production.
Our Digital Masterpieces
Explore our portfolio of successful digital solutions delivered to clients worldwide.
Native Shipper
A global personal shopper and cross-border commerce platform built with ReactJS, Node.js, PostgreSQL and AI analytics. Users request products, get AI item recommendations, chat live with personal shoppers and order from any country to any country.
Scan2Hire
An AI recruitment platform built in Python. Scan2Hire Pro screens resumes with AI across Admin, Manager and Recruiter roles, and Scan2Hire Seekers turns any resume into an ATS-ready document with live preview and online payments.
GoDinDin
A video-first buy and sell marketplace app built in Flutter with a MERN admin panel. Shoppers watch short product videos, discover homegrown brands and check out in the app, with OTP login and quick delivery in selected areas.
Southgate Timber Mart
A professional e-commerce platform for Southgate Timber Company Limited, specializing in timber, cladding, fencing, decking, and building supplies. Features Trustpilot integration, fast delivery, click & collect, and SEO optimization.
Charge Zone
India's largest EV charging network, pioneering the e-mobility revolution with high speed public charging infrastructure. Features station finder, franchise portal, ChargeClub membership, media center, and career sections.
RAG Development Pricing
Every project is priced on scope after a short discovery call. Start small with a proof of concept, then scale what works.
From $1,000
For a focused proof of concept that:
- validates one high-value use case with your real data;
- includes a working prototype and an evaluation of accuracy, speed and cost;
- ends with a clear go / no-go recommendation and production plan.
1-3 weeks
Quote based on scope
For a production build that:
- integrates with your apps, data and business systems;
- adds guardrails, monitoring, human handoff and security controls;
- is load-tested and deployed to your cloud.
Typically 4-12 weeks
Quote based on scope
For ongoing improvement that:
- monitors quality, cost and usage in production;
- updates prompts, knowledge and models as your business changes;
- adds new workflows and channels over time.
Monthly
Software Development Platforms, Technologies & Languages
The right technologies and platforms help build scalable, secure, and high-performing solutions that support faster development and long-term business growth.
FigmaSketchAdobe XD
What Our Clients Say
Your support has been instrumental in shaping who we are today.
"Excellent team to work with! Professional, highly skilled, and responsive throughout the entire project. They delivered a modern, scalable, and beautifully designed website while being receptive to feedback and meeting deadlines. I am extremely satisfied with the outcome and would happily work with them again."
"From design to development, the entire process was smooth and well-managed. The team paid close attention to detail, delivered excellent quality, and made sure the final outcome aligned perfectly with our vision."
"Their technical expertise and ability to solve complex challenges made a huge difference to our CRM project. Communication was always clear, and they delivered exactly what we needed."
"The team approached every challenge with a solution, first mindset. Their ability to understand our operational requirements and translate them into a robust platform made them feel like an extension of our own team rather than an external vendor."
"Excellent team to work with! Professional, highly skilled, and responsive throughout the entire project. They delivered a modern, scalable, and beautifully designed website while being receptive to feedback and meeting deadlines. I am extremely satisfied with the outcome and would happily work with them again."
"From design to development, the entire process was smooth and well-managed. The team paid close attention to detail, delivered excellent quality, and made sure the final outcome aligned perfectly with our vision."
"Their technical expertise and ability to solve complex challenges made a huge difference to our CRM project. Communication was always clear, and they delivered exactly what we needed."
"The team approached every challenge with a solution, first mindset. Their ability to understand our operational requirements and translate them into a robust platform made them feel like an extension of our own team rather than an external vendor."
"Excellent team to work with! Professional, highly skilled, and responsive throughout the entire project. They delivered a modern, scalable, and beautifully designed website while being receptive to feedback and meeting deadlines. I am extremely satisfied with the outcome and would happily work with them again."
"From design to development, the entire process was smooth and well-managed. The team paid close attention to detail, delivered excellent quality, and made sure the final outcome aligned perfectly with our vision."
"Their technical expertise and ability to solve complex challenges made a huge difference to our CRM project. Communication was always clear, and they delivered exactly what we needed."
"The team approached every challenge with a solution, first mindset. Their ability to understand our operational requirements and translate them into a robust platform made them feel like an extension of our own team rather than an external vendor."
"Excellent team to work with! Professional, highly skilled, and responsive throughout the entire project. They delivered a modern, scalable, and beautifully designed website while being receptive to feedback and meeting deadlines. I am extremely satisfied with the outcome and would happily work with them again."
"From design to development, the entire process was smooth and well-managed. The team paid close attention to detail, delivered excellent quality, and made sure the final outcome aligned perfectly with our vision."
"Their technical expertise and ability to solve complex challenges made a huge difference to our CRM project. Communication was always clear, and they delivered exactly what we needed."
"The team approached every challenge with a solution, first mindset. Their ability to understand our operational requirements and translate them into a robust platform made them feel like an extension of our own team rather than an external vendor."
RAG is a technique where an AI model first retrieves relevant passages from your own documents or database, then writes its answer using only that context. It lets a chatbot or search tool answer accurately about your business, cite its sources and stay up to date without retraining the model.
Use RAG when answers must come from specific, changing information such as policies, product docs or knowledge bases. Use fine-tuning when you need a model to learn a style, format or narrow task. Most business chatbots start with RAG because it is cheaper, easier to update and can cite sources.
No system can promise zero hallucinations, but RAG reduces them significantly. We combine good retrieval, answer grounding, citations, refusal when the answer is not in your data, and evaluation on real questions before launch.
A RAG proof of concept with Limbani Softwares starts from $1,000. Production cost depends on the number and type of data sources, access control, integrations, expected usage and the level of evaluation and monitoring you need.
Yes, when it is designed properly. We keep data in your cloud where possible, apply role-based access so users only retrieve what they are allowed to see, and configure model providers so your data is not used for training.
