You will get a custom RAG-powered AI knowledge base that answers from your data
Project details
We build custom RAG (Retrieval-Augmented Generation) knowledge bases that let your team or customers get instant, accurate answers from your own data.
Unlike generic chatbots, our RAG systems pull answers directly from your documents, databases, and internal knowledge — no hallucinations, no guessing.
What you get:
• Vector database with your indexed content
• LLM-powered Q&A interface (web widget, API, or Slack bot)
• Source citations with every answer
• Admin dashboard to manage documents
• Conversation history and analytics
We work with all major LLMs (GPT-4, Claude, LLaMA) and vector stores (Pinecone, Weaviate, ChromaDB). Built with Python, LangChain, and production-ready architecture.
Ideal for: internal knowledge bases, customer support, documentation search, HR/legal Q&A, and research assistants.
We handle everything from data processing to deployment. Your team gets a working system, full source code, and clear documentation.
Unlike generic chatbots, our RAG systems pull answers directly from your documents, databases, and internal knowledge — no hallucinations, no guessing.
What you get:
• Vector database with your indexed content
• LLM-powered Q&A interface (web widget, API, or Slack bot)
• Source citations with every answer
• Admin dashboard to manage documents
• Conversation history and analytics
We work with all major LLMs (GPT-4, Claude, LLaMA) and vector stores (Pinecone, Weaviate, ChromaDB). Built with Python, LangChain, and production-ready architecture.
Ideal for: internal knowledge bases, customer support, documentation search, HR/legal Q&A, and research assistants.
We handle everything from data processing to deployment. Your team gets a working system, full source code, and clear documentation.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAI, Hugging FaceAI Models
GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
Number of Revisions | 3 | 5 | 8 |
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 |
Frequently asked questions
About Igors
AI Systems That Run Your Business | Voice Agents, CRM, Automation
Birmingham, United Kingdom - 5:05 pm local time
BesTeam AI delivers complete, production-ready automation systems across five areas:
▸ AI Voice Agents — Inbound call handling 24/7. Bookings, FAQs, lead qualification, and call routing — all automated with natural-sounding AI that knows your business.
▸ Custom CRM Systems — Built around your actual sales process. Real-time pipelines, automated follow-ups, and dashboards that show you exactly where every deal stands.
▸ RAG Knowledge Bases — AI assistants trained on your documents, SOPs, and internal data. Your team asks questions, the system gives accurate answers instantly.
▸ AI Data Extraction — Pull structured data from invoices, contracts, forms, and documents automatically. No more manual entry.
▸ Workflow Automation — End-to-end process automation using n8n, Make, and custom integrations. Connect your tools, eliminate bottlenecks, reclaim hours every week.
Who we work with: SMBs, agencies, and founders scaling from 5 to 50+ staff who need operations that run without constant oversight.
How we work: Fixed-price projects. We scope, build, test, and hand over fully documented systems with admin access and training. No hourly billing surprises.
Tech stack: OpenAI, GPT-4, Claude, Twilio, Vapi, ElevenLabs, Firebase, Python, n8n, Make, REST APIs.
Based in Birmingham, UK. Available for async collaboration worldwide.
Steps for completing your project
After purchasing the project, send requirements so Igors can start the project.
Delivery time starts when Igors receives requirements from you.
Igors works on your project following the steps below.
Revisions may occur after the delivery date.
Data ingestion and vector store setup
We process your documents, chunk content, generate embeddings, and store in a vector database (Pinecone, Weaviate, or ChromaDB).
RAG pipeline and LLM integration
We build the retrieval pipeline connecting your vector store to an LLM (GPT-4, Claude, or LLaMA), with prompt engineering for accurate answers.