Custom AI chatbots are a game-changer for online customer engagement. This guide outlines the standard tech stack and architecture for building a chatbot in 2025.
1. Large Language Models (LLMs)
OpenAI's GPT models, Anthropic's Claude, or open-source models like Llama 3 form the core brain of the chatbot.
2. Retrieval-Augmented Generation (RAG)
Instead of relying on general model knowledge, feed your business FAQs, product manuals, and policies into a Vector Database (like Pinecone or Supabase Pgvector). The chatbot searches this database to answer queries accurately based on your actual data.
3. Development Frameworks
LangChain and LlamaIndex provide standard wrappers to manage prompt history, model settings, and document integrations.
Implementing a chatbot requires careful tuning of prompts and temperature settings. Contact WebSync Technologies to discuss building a custom AI assistant for your website.
