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https://issues.apache.org/jira/browse/CAMEL-21587?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Claus Ibsen updated CAMEL-21587:
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Component/s: camel-langchain4j
> Langchain4j : add similarity search
> -----------------------------------
>
> Key: CAMEL-21587
> URL: https://issues.apache.org/jira/browse/CAMEL-21587
> Project: Camel
> Issue Type: New Feature
> Components: camel-langchain4j
> Reporter: Zineb Bendhiba
> Assignee: Zineb Bendhiba
> Priority: Major
>
> +*Problem:*+
> Apache Camel Langchain4j and Vector databases (Qdrant/Pinecone) can't perform
> similarity search for RAG. This limitation hinders our ability to use Apache
> Camel with Vector databases with Langchain4j for robust search capabilities.
> While creating an example of RAG using Apache Camel Langchain4j and Apache
> Camel Vector databases, I realized that the Vector databases components
> cannot handle similarity search for the Langchain4j scenarios.
> Despite trying both Qdrant and Pinecone, I encountered issues when attempting
> to perform RAG (Relevance-based Active Learning) with these databases.
> +*Research*+
> I've analyzed various existing issues related to Search with Qdrant and
> Pinecone. For example, the Camel Qdrant component doesn't provide similarity
> search capabilities. In contrast, Pinecone allows for searching based on
> similarity.
> However, when trying to use Pinecone with Apache Camel, I encountered a
> challenge: we need to convert text to Embeddings using Camel Langchain4j
> Embeddings Component. The resulting list of Embeddings cannot be used
> directly with RAG.
> +*Proposed Solution*+
> To address this limitation, I propose implementing a new feature (or new
> camel AI component) that enables easy similarity search for RAG using Apache
> Camel and Vector databases. This could involve leveraging the abstraction
> from Embedding stores in Langchain4j to provide an easy way to perform
> similarity searches.
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