You will get an AI RAG chatbot and document search assistant for your data
Project details
You will get a custom RAG chatbot or document intelligence assistant that answers from your own data instead of generic model memory. I can ingest PDFs, docs, website content, or structured knowledge, set up retrieval, connect a vector database or search layer, add citations where appropriate, and expose the assistant through an API or simple interface. This is a good fit for internal knowledge bots, support assistants, document Q&A, research copilots, and data extraction workflows.
Database Type
SQLite, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$2,400
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 15 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
About Samyak
AI Automation & Backend Engineer | n8n, Agents, APIs, AWS
Bengaluru, India - 1:28 am local time
I help founders, startups, and product teams build AI automations, agent workflows, backend APIs, internal tools, and production-ready SaaS systems. I have 5+ years of engineering experience across Amazon, ALLEN Digital, Fivetran, and Observe.AI, and I work comfortably with both traditional backend architecture and modern AI coding/automation tools.
What I can help you ship:
- AI automations and agent workflows using LLMs, n8n, tool integrations, and backend orchestration
- RAG/document intelligence systems, AI chatbots, LLM gateways, and workflow copilots
- REST APIs, microservices, and backend platforms in Go, Java, Python, Spring Boot, and Django
- SaaS/internal tools, admin panels, scripts, data workflows, and operational automation
- AWS/serverless systems using Lambda, Step Functions, EC2, S3, RDS, queues, Docker, and Kubernetes
- Database design and optimization with MongoDB, MySQL, Redis, Elasticsearch, vector search, and caching layers
- Debugging, performance fixes, reliability improvements, and production cleanup
AI delivery style:
- I use Codex and Claude Code to move faster while keeping senior-engineer judgment on architecture, testing, maintainability, and security
- I can take vague requirements and convert them into milestones, technical scope, and working software
- I focus on business outcomes: fewer manual steps, faster internal operations, better customer workflows, and systems that do not break under real usage
Relevant proof:
- Built DataPulse, a CDC/data platform moving MongoDB data into Snowflake with Debezium, Kafka Connect, and Kubernetes
- Built Document Intelligence, a RAG-based PDF upload, semantic search, and AI document chat platform
- Built a Multi-Agent Orchestrator for configuring and running multiple AI agents across complex workflows
- Architected backend services handling 150K+ requests/sec with Redis-backed caching and 70% response-time improvement
- Worked on backend/data/AI systems at Amazon, ALLEN Digital, Fivetran, and Observe.AI
If you need someone to build an MVP, automate an internal process, add AI to your product, or clean up a backend that is starting to hurt, send me the goal. I will respond with a practical scope, first milestone, and execution plan.
Steps for completing your project
After purchasing the project, send requirements so Samyak can start the project.
Delivery time starts when Samyak receives requirements from you.
Samyak works on your project following the steps below.
Revisions may occur after the delivery date.
Build retrieval assistant
I ingest the provided knowledge sources, wire retrieval/chat behavior, test representative questions, and hand over setup notes.