74 lines
1.7 KiB
Markdown
74 lines
1.7 KiB
Markdown
# The RAG ClusterService EJB
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With the EJB `ClusterService` clients can index and retrieve embeddings.
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## Index
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A text chunk can be index by:
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```java
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clusterService.insertVector(workitem.getUniqueID(),
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workitem.getModelVersion(),
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workitem.getTaskID(),
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chunk,
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indexResult);
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```
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## Retrieval
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The retrieval can be based on text embedding only or refined by workflow metadata like the modelVersion or the TaskId
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```java
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List<RetrievalResult> retrievalResultList = clusterService.searchEmbeddings(embeddings, 5);
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```
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You can refine the retrieval by providing additional workflow context
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1. Task ID Range: Suche alle Tasks zwischen 1000-1999
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```java
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List<RetrievalResult> rangeResults = clusterService.searchEmbeddingsWithTaskRange(
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queryEmbedding,
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5,
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null, // all Model Versions
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1000,
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1999
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);
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```
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2. Wildcard Model Version: all products by wildcard search
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```java
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List<RetrievalResult> productResults = clusterService.searchEmbeddingsWithModelWildcard(
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queryEmbedding,
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5,
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"product-de*", // product-de-1.0.0, product-de-2.0.0, etc.
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null
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);
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```
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3. Combination products and Task Range 1000-1999
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```java
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List<RetrievalResult> combinedResults = clusterService.searchEmbeddings(
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queryEmbedding,
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5,
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Arrays.asList("product-de*"),
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null, // no specific Task IDs
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1000, // Task Range Start
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1999 // Task Range End
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);
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```
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4. Multiple Wildcards: all german models
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```java
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List<RetrievalResult> germanResults = clusterService.searchEmbeddings(
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queryEmbedding,
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5,
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Arrays.asList("product-de*", "offer-de*", "invoice-de*"),
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null, null, null
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);
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```
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