You will get RAG Knowledge Chatbot (with Citations) MVP in 7 Days

Name: You will get RAG Knowledge Chatbot (with Citations) MVP in 7 Days
Availability: InStock

Gaurav P. Gaurav P.

4.5

Gaurav P. Gaurav P.

4.5

Project details

𝐒𝐡𝐢𝐩 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐑𝐀𝐆 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐜𝐡𝐚𝐭𝐛𝐨𝐭 𝐰𝐢𝐭𝐡 𝐯𝐞𝐫𝐢𝐟𝐢𝐚𝐛𝐥𝐞 𝐜𝐢𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝟕 𝐝𝐚𝐲𝐬.

I built a clean retrieval pipeline (chunking → embeddings → reranker) plus a simple chat UI/API, grounded on your docs/KB.
Every delivery includes an evaluation harness with a quality/latency/cost report so you know exactly what has improved.

𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲-𝐟𝐢𝐫𝐬𝐭: keys in a secrets vault, optional VPC/on-prem (K8s), SSO/RBAC, and audit logs.
Channel demos (Web/Slack/WhatsApp) and helpdesk handoff (Zendesk/Freshdesk) available.

𝐓𝐞𝐜𝐡 𝐬𝐭𝐚𝐜𝐤: OpenAI/Anthropic/Mistral, LangChain/LangGraph/LlamaIndex, Pinecone/FAISS, Python/FastAPI, Docker/K8s, AWS/Azure/GCP.

𝐇𝐨𝐰 𝐰𝐞’𝐥𝐥 𝐰𝐨𝐫𝐤:

Step 1: You share 3–5 sample docs and your top FAQs
Step 2: I map retrieval, set acceptance targets (e.g., ≥90% citation coverage, P95 ≤ 2–3s)
Step 3: Then ship an MVP with repo + IaC, runbook, and a Loom walkthrough.

𝐍𝐞𝐞𝐝 𝐚𝐠𝐞𝐧𝐭𝐬 𝐨𝐫 𝐋𝐋𝐌𝐎𝐩𝐬 𝐧𝐞𝐱𝐭?
I can add guardrails, tracing/evals, and custom tool-using agents.

𝐑𝐞𝐬𝐮𝐥𝐭: a reliable, governed knowledge assistant your team can extend.

AI Algorithms

Convolutional Neural Network, Large Language Model, Multimodal Large Language Model, Transformer Model

AI Applications

AI Chatbot, AI Text-to-Speech, AI-Enhanced Classification, Automatic Speech Recognition, Conversational AI, Image Recognition, Machine Translation, Natural Language Understanding, Neural Machine Translation, Sentiment Analysis, Speech Synthesis, Text Recognition

AI Development Language

Python

AI Tools

Azure OpenAI, Gradio, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow

AI Models

BERT, BLOOM, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, Whisper

What's included

Service Tiers	Starter $1,200	Standard $3,000	Advanced $6,000
Delivery Time	7 days	12 days	21 days
Number of Revisions	2	3	3
AI Model Integration
Batch Normalization	-	-	-
Database Integration
Detailed Code Comments
Image Upscaling	-	-	-
MLOps	-
Model Deployment
Model Documentation
Model Monitoring	-
Model Testing & Optimization	-
Model Tuning	-	-	-
Natural Language Processing
NLP Tokenization	-	-	-
Pre-Training	-	-	-
Prompt Engineering
Setup File
Source Code

Optional add-ons You can add these on the next page.

On-Prem/VPC deploy (+ 5 Days)

+$2,500

Extra datasource/connector (+ 2 Days)

+$300

Advanced evals suite (+ 2 Days)

+$500

Frequently asked questions

4.5

2 reviews

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Edugrow.ai website Gaurav delivered good work on this development project, and I enjoyed working with them. His communication was top-notch, he met all deadlines, and his skills were reasonably strong. At one point I asked for an additional milestone and he was very forthcoming that the additional work was outside his area of expertise. He helped me find additional freelancers to support the work. I enjoyed working with Gaurav and will likely have additional jobs for him in the future.

Looking for Salesforce hourly project I am glad I got Gaurav to work on this project. He is brilliant and hard-working. The best thing I like about him he is punctual. He listens to my requirements calmly and once it completed he explained in simple words what he had done. Thank you!

About Gaurav

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Senior AI Engineer | GenAI, RAG Systems, AI Agents & LLMOps

4.5 (2 reviews)

Pune, India - 5:00 pm local time

I build production-ready Generative AI systems, RAG pipelines, AI agents, and LLM-powered automation that teams can actually deploy, measure, and trust.

I help startups and enterprises move from LLM experiments to reliable AI in production, across customer-facing and internal workflows.

What I Do:

1. GenAI applications (chatbots, copilots, internal tools)
2. RAG systems with citations and retrieval evaluation
3. AI agents & agentic workflows (LangGraph, tool-use, memory, retries)
4. LLMOps / AgentOps (tracing, evals, prompt versioning, monitoring)
5. Secure AI deployments (Cloud, On-Prem, VPC)

I don’t just integrate APIs; I design systems with clear acceptance criteria, observability, and maintainability.

📊 Outcomes I Care About:

- Fewer hallucinations through grounded retrieval and evals
- Predictable latency and cost at scale
- AI systems teams can operate without vendor lock-in
- Clear success metrics agreed before development starts

Every engagement includes:

1. Source-controlled repository + infrastructure-as-code
2. Evaluation report (quality, latency, cost)
3. Runbook and short Loom walkthrough for handover

🛠️ Tech Stack:

OpenAI · Claude · Mistral
LangGraph · LangChain
Pinecone · FAISS
FastAPI · Docker · Kubernetes
AWS · Azure · GCP

🔐 Security & Reliability:

SSO (SAML / OIDC), RBAC, audit logs
PII scrubbing & secrets management
Tool-call tracing and full auditability
Designed so security and compliance teams don’t block deployment.

If you want serious GenAI, not demos, let’s talk.

Steps for completing your project

After purchasing the project, send requirements so Gaurav can start the project.

Delivery time starts when Gaurav receives requirements from you.

Gaurav works on your project following the steps below.

Revisions may occur after the delivery date.

Step 1: Kickoff & assets (Day 0–1)

You provide: 3–5 sample docs/KB links + top FAQs. We confirm: success metric (e.g., citation coverage/latency), data scope, and MVP plan.

Step 2: Ingest & indexing (Day 1–2)

Set up connectors, chunking policy, embeddings, and vector DB. Light data QA to ensure docs are parsable and scoped.

Review the work, release payment, and leave feedback to Gaurav.

Select service tier

Starter$1,200

Standard$3,000

Advanced$6,000

Starter: 1 Source, Citations

1 datasource (≤200 docs). RAG with citations. Demo UI/API + basic evals.

Delivery Time 7 days
Number of Revisions 2
- AI Model Integration
- Database Integration
- Detailed Code Comments
- Model Deployment
- Model Documentation
- Natural Language Processing
- Prompt Engineering
- Setup File
- Source Code

7 days delivery — Jul 8, 2026

Revisions may occur after this date.

Upwork Payment Protection

Fund the project upfront. Gaurav gets paid once you are satisfied with the work.

You will get RAG Knowledge Chatbot (with Citations) MVP in 7 Days

Let a pro handle the details

Let a pro handle the details

Project details

AI Algorithms

AI Applications

AI Development Language

AI Tools

AI Models

What's included

Frequently asked questions

JS

TB

About Gaurav

Senior AI Engineer | GenAI, RAG Systems, AI Agents & LLMOps

Steps for completing your project

After purchasing the project, send requirements so Gaurav can start the project.

Gaurav works on your project following the steps below.

Step 1: Kickoff & assets (Day 0–1)

Step 2: Ingest & indexing (Day 1–2)

Review the work, release payment, and leave feedback to Gaurav.

Select service tier

Starter: 1 Source, Citations

You will get RAG Knowledge Chatbot (with Citations) MVP in 7 Days

Let a pro handle the details

Let a pro handle the details

Project details

AI Algorithms

AI Applications

AI Development Language

AI Tools

AI Models

What's included

Frequently asked questions

JS

TB

About Gaurav

Senior AI Engineer | GenAI, RAG Systems, AI Agents & LLMOps

Steps for completing your project

After purchasing the project, send requirements so Gaurav can start the project.

Gaurav works on your project following the steps below.

Step 1: Kickoff & assets (Day 0–1)

Step 2: Ingest & indexing (Day 1–2)

Review the work, release payment, and leave feedback to Gaurav.

Select service tier

Starter: 1 Source, Citations

Optional add-ons (3)