BotLabs Blog — AI Chatbots & Business Automation

A scenario bot handles clear processes, an AI assistant answers from a knowledge base, and an AI agent takes action across several systems. Start with the task and the cost of an error.

The short answer: a CRM or ERP integration needs two separate things. First, schema-constrained structured output so the model returns data in a known format with the required fields and types. Second, your…

The short answer: connecting a source connector is not enough. For an assistant to answer from current documents, you need an update pipeline with three parts: reacting to change events, regularly reconciling…

Seven ways to remove repetitive contacts and help agents, with a transparent UAH example and service-quality measures.

The short answer is this. If the model lacks current or confidential company data, start by supplying context: a clear instruction with the relevant document passages, or RAG, which searches your knowledge…

The starting point for choosing depends on what you already have. If the company is working with PostgreSQL, it is wise to check pgvector first. If you need a separate vector search service, consider Qdrant.…

Understand voice AI pricing, compare it with human operators, and test payback using your own call volume and service data.

A large context is convenient when you need to work with a limited set of documents: one contract, several reports, a package of files for a one-time check. RAG helps manage the search of a library that is…

A RAG system can make mistakes at several stages: when a document enters the index, when the search selects fragments, when these fragments form a context for the model, and when the model formulates an…