Python AI Agents & RAG Development
AiShorexNew
AI DevelopmentPython AI Agents & RAG Development
RAG Chatbot
$350
A chatbot that answers from your documents.
7 days delivery 2 revisions
- Up to 500 pages of documents
- LangChain and Qdrant
- Web chat or API
- Docker setup
Start 7-day free trial
Request Custom QuoteNo payment today. Pay $350 only if you're happy after 7 days.
- Led by a senior engineer with 8+ years' experience
- 7-day free trial: pay only if you're happy
- Price agreed up front, no hidden costs
- The code is yours: full ownership on delivery
About this service
We build generative and agentic AI in Python: chatbots that answer from your own documents (RAG), AI agents that use tools and remember context, and MCP servers that connect AI assistants to your systems. We use LangChain and LangGraph, vector databases like Qdrant, OpenAI, Gemini or Claude, or open models running locally with Ollama, and ship it all in Docker.
What's included
- RAG on your own data
- Multi-step agents
- Local or cloud models
- Docker deployment
What we need from you
- What the agent or chatbot should do
- Documents or data sources to use
- Preferred AI provider (or ask us)
What you'll receive
- Working agent or chatbot
- Python source code
- Docker files and setup guide
Technologies
- Python
- LangChain
- LangGraph
- Qdrant
- OpenAI
- Gemini
- Claude
- Ollama
- Hugging Face
- Pydantic
- Docker
- MCP
Compare packages
| Package | LLM Integration | RAG Chatbot | AI Agent |
|---|---|---|---|
| Price | $150 | $350 | $700 |
| Delivery | 4 days | 7 days | 12 days |
| Revisions | 1 | 2 | 3 |
Frequently asked questions
What is RAG?
Retrieval-augmented generation: the AI looks up the right parts of your documents before answering, so answers are accurate and up to date.
Can it run without OpenAI?
Yes. We can use Gemini, Claude, or open models running on your own server with Ollama.
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