Blocks
Knowledge Retrieval
Retrieve documents from a knowledge base.
The Knowledge Retrieval block allows you to search and retrieve relevant documents from your Athina Knowledge Base using semantic similarity search.
Overview
The Knowledge Retrieval block is designed to:- Search through your uploaded documents using semantic similarity
- Return the most relevant document chunks based on your query
- Enable context-aware information retrieval from your knowledge base
How It Works
-
Document Processing:
- Documents uploaded to Athina are automatically processed and chunked
- Each chunk is converted into a vector embedding
- The embeddings are stored in a Qdrant vector database
-
Retrieval Process:
- Your input query is converted to a vector embedding
- The system performs a semantic similarity search in Qdrant
- The most relevant document chunks are returned based on similarity scores
Configuration Options
| Parameter | Description | Default |
|---|---|---|
| Query | The search query to find relevant documents | Required |
| Knowledge Base | The knowledge base to search | Required |
| Number of Results | Maximum number of document chunks to return | 5 |