Content based document search - KNIME Locall LLMs
<p>This workflow creates a content-based document search on a contracts dataset.</p><p>First, we generate a summary of the contract using Local Llama, then extract the embedding vectors and store them in the Chroma vector database. After that, we can use vector store retrieval to retrieve documents related to a user query.</p>
Nodes
- Credentials Configuration1 ×
- String Cleaner1 ×
- String Configuration1 ×
- String Manipulation1 ×
- Show all 10 nodes
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Javasnippet
- FeatureKNIME Quick Forms
- FeatureKNIME Textprocessing
- FeatureKNIME Views
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