HR policy assistant
Answers questions on leave, travel and benefits from your HR policies, with the policy page cited.
RAG development
RAG Development for Enterprise Search and Knowledge Assistants
Bluelupin builds retrieval-augmented generation (RAG) systems that let your staff search and ask questions of your own documents, wikis, tickets and records. Each answer cites its sources and follows each user's access rights. We deliver this as enterprise search, as a knowledge assistant in Slack, Microsoft Teams or a web portal, or both.
What RAG is, and when your team needs it
RAG finds the passages in your content that relate to a question and gives them to a language model, which writes an answer that cites those passages. Users can always open the source to check the answer.
| You need | Use |
|---|---|
| Staff searching or asking about your own documents | RAG development (this page) |
| Customers or citizens chatting or calling in | Conversational AI |
| Pulling fields out of forms, invoices or IDs | Intelligent document processing |
| A system that acts in other tools after it finds the answer | AI agent development |
If the people asking are your staff searching your own documents, see RAG development. If they are customers or citizens, see conversational AI.
To pull fields out of forms, invoices or IDs, see intelligent document processing.
If the system has to act in other tools after it finds the answer, see AI agent development.
Enterprise search
Search that matches meaning as well as keywords, across your wikis, shared drives, tickets and records. Results can be filtered by department, date or document type. Duplicate documents are removed, the most relevant passages are ranked first, and unclear questions are rewritten before the search runs.
Knowledge assistants for your teams
Staff ask questions in Slack, Microsoft Teams or a web portal with single sign-on, ask follow-up questions, and are handed to a named expert when the assistant cannot answer.
Examples of what we can build.
Sales enablement assistant
Finds product details, pricing rules and past proposals for the sales team.
Operations SOP assistant
Walks staff through standard operating procedures and links the exact step in the source document.
Scheme and circular finder
Helps officers in government departments find the right scheme, circular or notification and its latest version.
Connecting your content
We connect PDFs, Office files, wikis, CRM notes, tickets and shared drives. New and changed files are picked up incrementally, so content stays searchable without a full rebuild of the index.
Systems we work with
- CRM: Zoho, Salesforce, HubSpot
- ERP: Odoo, SAP, ERPNext
- Collaboration: Slack, Microsoft Teams
- Data warehouses: BigQuery, Redshift
- APIs and custom apps
Permissions and data security
- Access rights are synced from each source system and checked every time someone asks a question, so each person sees answers only from documents they could already open.
- Personal data can be filtered or masked before it reaches a model.
- Data residency is one of the factors we use to choose models and hosting, and we deploy on approved cloud regions that match your security policies.
Governance and responsible AI are built into every Bluelupin build.
Answers you can check, and keeping them accurate
- Every answer cites its sources
- The assistant says so when no source supports an answer
- Test question sets run before launch and after content changes
- Reports on questions that found no good answer, with synonym tuning for your terms
- An admin review queue for flagged answers
- Filters that block toxic or unsafe content
How a RAG project works
Strategy and readiness
We audit where your content lives and agree the questions the system must answer well. This is the strategy and readiness phase of every Bluelupin build.
Prototype
A working search or assistant on a sample of your content, tested against those questions.
Pilot
One team uses it on real work while we measure answer quality and fix gaps.
Rollout
Rollout and training for the teams who use the system can be included. How we roll out.
Run and improve
Our AI model monitoring and optimization service can run it after launch. Failed questions and feedback improve retrieval and test sets.
How long it takes: A first prototype can be ready in 1 to 2 weeks. Pilots usually take 4 to 8 weeks, and production systems usually take 3 to 6 months.
Technology
RAG answers from your content at the moment a question is asked, so no model is trained on your documents. Bluelupin is an OpenAI partner.
Elasticsearch
OpenSearch
PostgreSQL
Pinecone
Cohere
LangChain
LlamaIndex
AWS Bedrock
OpenAI
RAG development FAQs
Common questions about RAG development.
How is RAG different from normal enterprise search?
Enterprise search returns a list of links. RAG returns a written answer built from the passages it found, with citations, and users can still open each source document to check it.
Will staff see documents they are not allowed to open?
No. Access rights are synced from the source systems and checked for every question, so each person gets answers only from documents they could already open.
How do you stop the assistant making up answers?
Every answer must cite its sources, and the assistant says so when no source supports an answer. We run test question sets before launch and after content changes, and flagged answers go to an admin review queue.
Do you train a model on our documents?
No. RAG reads your content at the moment a question is asked and passes the relevant passages to the model, which writes an answer that cites them. Your documents are not used to change the model itself, and when a document changes, the next answer uses the new version.
How long does a RAG project take?
A first prototype can be ready in 1 to 2 weeks. Pilots usually take 4 to 8 weeks, and production systems usually take 3 to 6 months. The time depends on how many systems we connect, how ready your data is and how many review and approval steps the work needs.
What drives the cost of a RAG system?
Cost depends on how much content you have and how many sources it lives in, how access rights are set up, the channels you want (search, Slack, Microsoft Teams or a portal), model usage, and how much testing the answers need.
Talk to our AI team
Tell us where your content lives and the questions your teams ask most, and we will help you plan the first step. Response within one business day.
Talk to our AI teamOr email sales@bluelupin.com or call +91 99100 24224