AI Knowledge Base

AI Knowledge Base
Turn Files into Scoped Knowledge

Upload PDFs, Excel files, web pages, and text into scopes. MonoChat chunks, embeds, and stores the data in your selected VectorDB — ready to power RAG pipelines and AI agent workflows.

PDF • XLS • Web
Multi-source ingestion
Bring knowledge from any format
Scopes
Knowledge domains
Separate topics & permissions
Configurable
Chunking & embeddings
Tune the pipeline if needed
Any VectorDB
Storage destination
Embedded or external

AI Knowledge Base Features

Build scoped knowledge from unstructured sources and use it across RAG pipelines and AI agents.

Multi-Source Ingestion

Load unstructured content from files, URLs, and raw text. Keep everything centralized and searchable.

  • PDF, Excel, text, and more
  • Web page import
  • Bulk upload support
  • Metadata & tagging

Scoped Knowledge Domains

Organize your data into scopes so every AI flow or agent retrieves from the right knowledge source.

  • Separate knowledge by topic
  • Per-scope access control
  • Assign scopes to agents
  • Avoid cross-domain leakage

Embedding Pipeline Controls

MonoChat offers ready-to-use defaults, and also lets you control how embeddings are created.

  • Choose embedding model
  • Chunk size & overlap settings
  • Preprocessing rules
  • Optional advanced tuning

Core Components

Everything you need to ingest, embed, store, and retrieve knowledge reliably.

Smart Chunking

Split documents into clean, retrieval-friendly chunks using defaults — or configure your own strategy.

Embedding Settings

Pick the embedding model and configure how data is vectorized for fast semantic retrieval.

VectorDB Destination

Store vectors in MonoChat embedded VectorDBs or connect your own VectorDB by adding credentials.

Governance & Lifecycle

Update scopes, re-index data, and manage knowledge changes safely as your content evolves.

RAG-Ready Outputs

Use scopes directly in your AI orchestrations so agents retrieve the right context at runtime.

Secure by Design

Keep data isolated per workspace/scope and store embeddings where your compliance requires.

Practical Applications

Typical ways teams use AI Knowledge Base with scopes and RAG.

Customer Support Knowledge

Create a scope for help center PDFs and policies so agents answer accurately and consistently.

Sales Enablement

Embed catalogs, pricing sheets, and brochures into a sales scope for instant product answers.

Internal Operations

Build SOP and onboarding scopes so teams and internal assistants work from a single source of truth.

Key Benefits

Core advantages you gain with scoped knowledge and configurable embeddings.

Higher Answer Quality

Ground responses in your own data to reduce hallucinations and improve trust.

Full Control When Needed

Use sane defaults or fully customize the chunking + embedding pipeline.

No Vendor Lock-in

Use embedded VectorDBs or bring your own VectorDB and keep data where you want.

Composable with Agents

Scopes plug into RAG, workflows, and AI tools for end-to-end orchestrations.

Build Your Knowledge Layer with MonoChat

Upload documents, create scopes, and power your AI agents with reliable knowledge.

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