Lyzr Studio’s Classic Knowledge Base feature allows you to create a no-code RAG pipeline for fast, searchable document understanding. It’s ideal for building lightweight Q&A systems from files, URLs, and plain text sources — optimized for quick setup and cost-efficient usage.


1. Choose Knowledge Base Type

Before creation, you’ll be prompted to choose the type of Knowledge Base:

  • Classic (for general documents and text)
  • Knowledge Graph (for relationship-heavy data)
  • Semantic Model (for structured databases)

Select Classic Knowledge Base to proceed.


2. Create a Classic Knowledge Base

Define your new KB by entering essential details:

  • Name: A meaningful title (e.g., “Marketing FAQs”).
  • Description: Briefly explain the purpose of this KB.
  • Vector Database: Choose where embeddings will be stored — options include Qdrant, Weaviate, or others integrated with Lyzr.

Click Create to initialize your Classic Knowledge Base.


3. Add Content from Multiple Sources

Lyzr supports uploading or linking multiple data types. Content types supported:

  • File Upload: PDF, DOCX, TXT, CSV, JSON.
  • Web Links: Direct URLs of documentation pages or websites.
  • Copy-paste text: Manually input chunks of content.

Lyzr auto-detects file formats and applies the right parser. Behind the scenes:

  • Content is split into semantically coherent chunks.
  • Embeddings are generated using LLMs.
  • The vector store indexes these chunks for fast retrieval.

4. Query & Test

Once your Classic KB is populated, test it directly inside Studio:

  • Search Input: Ask natural language questions.
  • Chunk Count: Control number of results returned (default: 10).
  • Retrieval Type: Basic (similarity-based).
  • Score Threshold: Filter out low-score responses for higher precision.

You can continue uploading more files or editing your KB over time. Lyzr will automatically update the index.


5. Integrate with Agents

The Classic KB can now be connected to Lyzr agents:

  • Choose the KB as a data source during agent creation.
  • The agent will use this KB to perform Retrieval-Augmented Generation (RAG).
  • No coding required — fully visual interface for mapping knowledge and deploying agents.

Summary

FeatureDescription
Fast SetupUpload or link content in minutes.
Cost-Effective RetrievalOptimized for quick queries and basic document Q&A.
No-Code InterfaceSimple visual UI for all KB operations.
Agent-ReadySeamlessly connect to agents for real-time semantic Q&A.

The Classic Knowledge Base is best suited when you want to get started fast with document-based Q&A and lightweight RAG — no database or complex configuration needed.