Knowledge Retrieval

The Knowledge Retrieval block allows you to search and retrieve relevant documents from your Athina Knowledge Base using semantic similarity search.

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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

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How It Works

1. 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

2. 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

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Configuration Options

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Example Usage