Documentation
Managing knowledge that powers your bots.
Knowledge bases store information your bot can reference when answering questions. When a user asks something, Neuron searches the knowledge base using hybrid search (combining semantic understanding and keyword matching) to find relevant entries and includes them in the AI's context.
Go to Knowledge and click "Create". Provide a name, description, and optionally a root instruction. The root instruction tells the AI how to use the knowledge — for example, "Use this knowledge to answer customer support questions about our products."
Entries are individual pieces of knowledge. Each entry has a title, content, and optional folder and source fields. Create entries manually for specific FAQs, product details, policies, or procedures.
Upload text documents to automatically create knowledge entries. The content is chunked into manageable pieces and stored as separate entries. This is the fastest way to import existing documentation.
Entries can be organized into folders: general (default), faqs, skills, contexts, and policies. Folders help you structure knowledge logically and make it easier to maintain.
A knowledge base can be attached to multiple bots, and a bot can have multiple knowledge bases. Go to the bot's Knowledge tab to manage attachments. When a bot has multiple knowledge bases, all of them are searched for relevant context.
Use the search feature on a knowledge base page to test how the hybrid search works. It combines semantic search (understanding meaning) with full-text search (matching keywords) for the best results.
After adding or updating entries, sync the knowledge base to regenerate vector embeddings. This ensures the semantic search is up to date. The sync runs in the background and processes all entries.
Embeddings are generated automatically for new entries, but a full sync is recommended after bulk edits or uploads.