Working Hours
Monday 9:00 am - 8.00 pm
Tuesday 9:00 am - 8.00 pm
Wednesday 9:00 am - 8.00 pm
Thursday 9:00 am - 8.00 pm
Friday 9:00 am - 8.00 pm
Saturday Closed
Sunday Closed
Support for 2 - 8 hours per day in weekdays in the given time interval
Our RAG Pipeline Job Support service provides real-time, proxy, and milestone-based assistance for professionals building Retrieval-Augmented Generation (RAG) systems in enterprise and startup environments. We help developers design, debug, optimize, and deploy RAG architectures that reduce hallucinations, improve factual accuracy, and scale reliably in production.
This service is ideal for GenAI engineers, ML engineers, and consultants working on knowledge-driven chatbots, internal copilots, document intelligence systems, and enterprise search applications under strict delivery timelines.
Developer skills
Our RAG Pipeline Job Support covers the complete technical lifecycle of retrieval-augmented systems. We assist with document ingestion pipelines, data preprocessing, chunking strategies, metadata enrichment, and embedding generation for structured and unstructured data. Developers receive hands-on support in selecting and tuning vector databases, implementing hybrid search (semantic + keyword), and optimizing similarity search for accuracy and latency.
We also help integrate RAG workflows with modern GenAI frameworks such as LlamaIndex and LangChain, including retrievers, query engines, memory layers, and response synthesis. Additional support includes prompt–retrieval coordination, context window optimization, grounding techniques, and evaluation strategies to reduce hallucinations and improve answer faithfulness. Our experts assist with debugging retrieval failures, relevance drops, token overflows, and performance bottlenecks across cloud and on-premise deployments.
RAG Pipeline Job Support
- We support professionals working in roles that require building or maintaining RAG-based GenAI solutions, including GenAI Engineer, LLM Engineer, Machine Learning Engineer (NLP), AI Consultant, Applied AI Engineer, and Startup MVP Developer. Typical job responsibilities include designing RAG architectures, integrating large document repositories with LLMs, improving retrieval relevance, reducing hallucinations, and delivering stable, production-ready knowledge assistants for internal or customer-facing use cases.
RAG Pipeline Job Support – FAQ
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1. What is RAG (Retrieval-Augmented Generation)?
Retrieval-Augmented Generation (RAG) is an AI architecture that combines large language models with external knowledge sources. Instead of relying only on model training data, RAG retrieves relevant documents or records from databases or files and uses them as context for generating accurate, up-to-date responses.
2. Why do enterprises need RAG instead of only LLMs?
Enterprises use RAG because standalone LLMs can hallucinate or provide outdated information. RAG grounds responses in real data such as PDFs, databases, APIs, or internal knowledge bases, making it essential for enterprise chatbots, compliance systems, and internal copilots.
3. What does RAG Pipeline Job Support include?
RAG Pipeline Job Support includes assistance with document ingestion, chunking strategies, embedding generation, vector database integration, retriever tuning, prompt-retrieval coordination, hallucination reduction, and production deployment. Support is available in real-time, proxy mode, or milestone-based formats.
4. Do you support RAG frameworks like LlamaIndex and LangChain?
Yes. We provide hands-on support for building RAG pipelines using **LlamaIndex** and **LangChain**, including retrievers, query engines, memory layers, and response synthesis workflows.
5. Which vector databases do you support for RAG systems?
We support popular vector databases such as **Pinecone**, FAISS, and Chroma. Our assistance includes index configuration, similarity search tuning, hybrid search implementation, and performance optimization.
6. Can you help reduce hallucinations in RAG systems?
Yes. We help reduce hallucinations by improving document chunking, metadata filtering, retriever accuracy, prompt grounding, context window optimization, and evaluation strategies. Proper RAG design significantly improves factual accuracy compared to prompt-only approaches.
7. Is this service suitable for live job or freelance project support?
Absolutely. This service is designed for professionals working in real job roles, freelance contracts, or startup projects who need immediate help meeting deadlines, fixing production issues, or delivering client milestones.
8. Do you offer proxy support for RAG job assignments?
Yes, proxy support is available for technical implementation, debugging, and pipeline setup. Proxy assistance is strictly limited to development support and does not include role impersonation or misrepresentation.
9. Can you help with RAG deployment in production?
Yes. We assist with deploying RAG systems to production environments, including cloud infrastructure, API serving, latency optimization, cost control, and monitoring of retrieval and generation quality.
10. Is client data and code kept confidential?
All client code, documents, and datasets shared during RAG job support are treated as strictly confidential. We follow secure handling practices and do not reuse or disclose client materials.
Job Support Process
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We get the call or WhatsApp or email message from you requesting for Database Job support
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We will conference you with our Job Support experts and schedule a demo within 24 hours
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First session will be a demo session where you can explain our consultant about your project and what kind of support is required.
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Payment should be done for the support period requested before second session
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We are working on behalf of you and the work will be kept confidential
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We would also need your help in understanding your project so that we can assist you better
Terms & Conditions
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As soon as we receive job support request, our team member will go through your requirement and we will arrange a conference call with our experts/developers and she/he will go through your task requirement, Tools and Technologies if she/he is 100% confident with the job, then only we will agree to provide Job Support.
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If our experts is 100% confident and comfortable with your requirements, then only we will agree to provide service.
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Our experts/developers are available from Monday to Friday in the morning or evening. You have the possibility to choose the time slot that best suits your needs.
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Usually, we're not working on weekends. But if you have a deadline and project job to be completed? Don't worry. We're making exceptions and helping you on weekends, too.
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In the case of expert/developer absence, we can provide backup expert within 12 hours.
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Any Meeting, call, work update, and discussion related to work will be considered as working hours.
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Developer can do work which is supported by technology lets say if BLE is only used to send small data(few bytes)
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Developer will not be available in holiday period or any planned leave which will be shared earlier
TYPE OF JOB SUPPORT SERVICES WE PROVIDE
WHAT WE OFFER FOR YOU TO BOOST YOUR CAREER
MONTHLY PLAN
Support for 5 days a week (Monday to Friday) daily 1 hour to 4 hours of support would be provided based on requirement. You can connect using TeamViewer, Skype, go-to meeting etc. Payment would be on monthly basis.
TASK BASED
Support for your specific task (one or two days assignment). You can connect using TeamViewer, Skype, go-to meeting etc. Charges will be based on complexity of work and number of hours.
Pricing and How billing works
Weekly
$ 25 / ₹ 1500
per hour
If you are using 1 - 2 hour per day and total less than 15 hours in a week
Monthly
$ 20 / ₹ 1200
per hour
2 - 4 hours per day every months. so total 60 - 120 hours in a month
Enterprise
$ 18 / ₹ 1000
per hour
Full time employee for contract basis project. For more please discuss with us.
How our charges and billing works?
Our charges will be 18 - 25 USD per hour as opted plan which includes code walkthrough, developer working hours. You can pay daily, weekly or monthly whatever is the best work for you but we take 50% upfront payment for one time project. But hourly payment we can discuss accordingly may be like 1 week advance payment or 15 days advance.
Payment Methods:
You can pay directly to the company account if payment is received from International Currency to INR. If you are willing to pay INR to INR account then you can pay the company account managed by Indian banking.
Payment Service provider:
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International payments (wise.com, Westen union, Remitly, Stripe, MoneyGram, Bank to Bank transfers )
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Payment from India (Bank to bank transfers), any Indian UPI like GooglePay/PhonePe etc.
React out to us
Requests are answered in the order they are received instantly.
Address:
G-69, Sector 63 Noida Pincode. 201301 (INDIA)
​Call Assistance : 0120 - 411 8730
