Expertise, Automated
General Bots provides an industrial pipeline for document ingestion, semantic chunking, and vector indexing, ensuring your bot always has the most accurate information.
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Automated Semantic Chunking
Intelligent document splitting that preserves context, ensuring the LLM receives the most relevant information snippets.
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Knowledge Base Hot-Swapping
Update Word or PDF documents and see the bot's knowledge update instantly without manual re-indexing or downtime.
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OCR & Extraction Pipeline
Process image-heavy documents and complex Excel tables with built-in parallel extraction engines.
A bot is only as good as its knowledge. If your bot doesn't know your products, policies, and procedures, it will give wrong answers. Training is the process of teaching your bot by feeding it your documents — and General Bots makes this trivially simple.
Automated Semantic Chunking
Intelligent document splitting that preserves context and paragraph boundaries. Each chunk maintains coherence, ensuring the LLM receives the most relevant information.
Knowledge Base Hot-Swapping
Update Word or PDF documents and see the bot's knowledge update instantly. No manual re-indexing, no downtime, no rebuilds.
OCR and Extraction Pipeline
Process image-heavy documents and complex tables with built-in parallel extraction engines. PDFs, scanned documents, and Excel files all become searchable knowledge.
How It Works
You don't need to label data, create training sets, or fine-tune models. Just drop your documents into a .gbkb folder — PDFs, Word files, Excel spreadsheets, plain text — and the system handles the rest. It automatically chunks the documents into meaningful segments, generates embeddings using your chosen model, and indexes them in Qdrant for fast semantic search. When a user asks a question, the system finds the most relevant chunks and includes them in the prompt to the LLM. If you update a document, the knowledge base updates automatically — no manual re-indexing required. This is true continuous learning: your bot gets smarter as you add more documents.
Related Features
Training feeds directly into AI Search for RAG-powered answers. Combine with LLM Tools for tool-augmented responses, or use Talk to Data for structured data queries.
Why Use Knowledge Training
Train bots on your proprietary documents, FAQs, and datasets. Automated chunking, vector indexing, and hot-swappable knowledge bases.
Index 100K+ documents per hour. Automatic chunking and embedding. Hot-swappable knowledge bases.