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Glossary

Plain-language definitions for buyers and practitioners.

  • RAG (Retrieval-Augmented Generation)

    Combines search over your documents with LLM generation for cited answers.

  • Embedding

    Numeric vector representation of text used for semantic similarity search.

  • Vector database

    Stores embeddings for fast nearest-neighbor retrieval (e.g. Qdrant).

  • Large language model (LLM)

    Neural model that generates text from prompts; KobiGPT uses Gemini by default.

  • Fine-tuning

    Training a base model on custom data; often costlier than RAG for SMEs.

  • Prompt engineering

    Crafting instructions and context so the model behaves reliably.

  • Chunking

    Splitting documents into segments before embedding (e.g. 512 tokens).

  • Cosine similarity

    Metric comparing vector angles; common in semantic search.

  • HNSW index

    Approximate nearest-neighbor graph index used in Qdrant.

  • Knowledge base

    Curated company documents indexed for assistants.

  • Multi-tenant

    Isolated data per company on shared infrastructure.

  • KVKK

    Turkey’s personal data protection law; relevant for SME AI deployments.

  • GDPR

    EU data protection regulation; consider for cross-border SaaS.

  • Token

    Subword unit billed by LLM APIs; drives Kobi Kredi estimates.

  • Context window

    Maximum tokens the model can read in one request.

  • Hallucination

    Confident but incorrect model output; mitigated by RAG citations.

  • Semantic search

    Search by meaning via embeddings rather than keywords only.

  • BM25

    Classic lexical ranking; sometimes hybridized with vectors.

  • Hybrid search

    Combines keyword and vector retrieval for better recall.

  • Grounding

    Anchoring answers to retrieved sources.

  • Citation

    Reference to document snippets shown with answers.

  • Department assistant

    Scoped chatbot for HR, legal, sales, etc.

  • Google Drive sync

    Connecting folders as a document source in KobiGPT.

  • Gemini

    Google’s LLM family used as KobiGPT’s default chat model.

  • OpenRouter

    API gateway for embeddings and alternate models.

  • Qdrant

    Vector database used for per-company collections.

  • BullMQ

    Redis queue for async document embedding jobs.

  • Self-hosted

    Running KobiGPT on your infrastructure for data residency.

  • Kobi Kredi

    Usage credits metering external AI and platform costs.

  • SME AI

    AI products priced and designed for small and mid-size firms.

  • Chatbot

    Conversational UI over your knowledge base.

  • Enterprise AI

    Org-wide AI with governance, SSO, and policies.

  • On-premise

    Software deployed inside customer network.

  • Data residency

    Geographic location where data is stored and processed.

  • PII

    Personally identifiable information subject to KVKK/GDPR.

  • Access control

    Rules for who can read or chat with which documents.

  • Role-based access

    Admin, manager, viewer roles in KobiGPT.

  • API key

    Secret used to authenticate programmatic API calls.

  • Webhook

    HTTP callback for integrations and automation.

  • SSL/TLS

    Encryption in transit for web and API traffic.

KobiGPTKobiGPT

Dedicated AI assistants for your company — department-scoped workflows trained on your own data.

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Email[email protected]

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