01
AI Chatbot & RAG Development
Retrieval-augmented chatbots built on content you approve — PDFs, documentation, websites or databases. The bot is grounded, tested for answer quality, and embedded in the channel your customers or team already use.
What this covers
- RAG chatbot answering from PDFs, documents, websites or databases
- Document Q&A and FAQ automation
- Customer support, lead-generation and internal-knowledge assistants
- Lead capture and human handoff
- Multilingual, always-on, on-brand chatbot experiences
- Website widget, API, WhatsApp, Slack or Messenger delivery channels
- OpenAI, Claude, Gemini, Groq and other supported LLMs
- Pinecone or pgvector embeddings with LangChain and Postgres
- Guardrails, evaluations and fine-tuning when needed
- Ongoing support and maintenance options
What you receive
- A consultation or completed AI chatbot solution depending on the selected scope; chatbot grounded on the customer's approved documents/data where required; RAG/vector database configuration where scoped; selected LLM integration; website/API/messaging integration where scoped; testing for response quality; source code and launch/deployment support for development packages.