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Adding additional default use cases (#731) * adding pretrained model templates * adding reindex * changing file structure for bwc --------- Signed-off-by: Amit Galitzky <[email protected]>
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23 changes: 23 additions & 0 deletions
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src/main/resources/defaults/hybrid-search-with-local-model-defaults.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,23 @@ | ||
| { | ||
| "template.name": "hybrid-search", | ||
| "template.description": "Setting up hybrid search, ingest pipeline and index", | ||
| "register_local_pretrained_model.name": "huggingface/sentence-transformers/paraphrase-MiniLM-L3-v2", | ||
| "register_local_pretrained_model.description": "This is a sentence transformer model", | ||
| "register_local_pretrained_model.model_format": "TORCH_SCRIPT", | ||
| "register_local_pretrained_model.deploy": "true", | ||
| "register_local_pretrained_model.version": "1.0.1", | ||
| "create_ingest_pipeline.pipeline_id": "nlp-ingest-pipeline", | ||
| "create_ingest_pipeline.description": "A text embedding pipeline", | ||
| "create_ingest_pipeline.model_id": "123", | ||
| "text_embedding.field_map.input": "passage_text", | ||
| "text_embedding.field_map.output": "passage_embedding", | ||
| "create_index.name": "my-nlp-index", | ||
| "create_index.settings.number_of_shards": "2", | ||
| "create_index.mappings.method.engine": "lucene", | ||
| "create_index.mappings.method.space_type": "l2", | ||
| "create_index.mappings.method.name": "hnsw", | ||
| "text_embedding.field_map.output.dimension": "768", | ||
| "create_search_pipeline.pipeline_id": "nlp-search-pipeline", | ||
| "normalization-processor.normalization.technique": "min_max", | ||
| "normalization-processor.combination.technique": "arithmetic_mean" | ||
| } |
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20 changes: 20 additions & 0 deletions
20
src/main/resources/defaults/semantic-search-with-local-model-defaults.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| { | ||
| "template.name": "semantic search with local pretrained model", | ||
| "template.description": "Setting up semantic search, with a local pretrained embedding model", | ||
| "register_local_pretrained_model.name": "huggingface/sentence-transformers/paraphrase-MiniLM-L3-v2", | ||
| "register_local_pretrained_model.description": "This is a sentence transformer model", | ||
| "register_local_pretrained_model.model_format": "TORCH_SCRIPT", | ||
| "register_local_pretrained_model.deploy": "true", | ||
| "register_local_pretrained_model.version": "1.0.1", | ||
| "create_ingest_pipeline.pipeline_id": "nlp-ingest-pipeline", | ||
| "create_ingest_pipeline.description": "A text embedding pipeline", | ||
| "text_embedding.field_map.input": "passage_text", | ||
| "text_embedding.field_map.output": "passage_embedding", | ||
| "create_index.name": "my-nlp-index", | ||
| "create_index.settings.number_of_shards": "2", | ||
| "create_index.mappings.method.engine": "lucene", | ||
| "create_index.mappings.method.space_type": "l2", | ||
| "create_index.mappings.method.name": "hnsw", | ||
| "text_embedding.field_map.output.dimension": "768", | ||
| "create_search_pipeline.pipeline_id": "default_model_pipeline" | ||
| } |
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src/main/resources/defaults/semantic-search-with-reindex-defaults.json
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| { | ||
| "template.name": "semantic search with cohere embedding", | ||
| "template.description": "Setting up semantic search, with a Cohere embedding model", | ||
| "create_connector.name": "cohere-embedding-connector", | ||
| "create_connector.description": "The connector to Cohere's public embed API", | ||
| "create_connector.protocol": "http", | ||
| "create_connector.model": "embed-english-v3.0", | ||
| "create_connector.input_type": "search_document", | ||
| "create_connector.truncate": "end", | ||
| "create_connector.credential.key": "123", | ||
| "create_connector.actions.url": "https://api.cohere.ai/v1/embed", | ||
| "create_connector.actions.request_body": "{ \"texts\": ${parameters.texts}, \"truncate\": \"${parameters.truncate}\", \"model\": \"${parameters.model}\", \"input_type\": \"${parameters.input_type}\" }", | ||
| "create_connector.actions.pre_process_function": "connector.pre_process.cohere.embedding", | ||
| "create_connector.actions.post_process_function": "connector.post_process.cohere.embedding", | ||
| "register_remote_model.name": "Cohere english embed model", | ||
| "register_remote_model.description": "cohere-embedding-model", | ||
| "create_ingest_pipeline.pipeline_id": "nlp-ingest-pipeline", | ||
| "create_ingest_pipeline.description": "A text embedding pipeline", | ||
| "text_embedding.field_map.input": "passage_text", | ||
| "text_embedding.field_map.output": "passage_embedding", | ||
| "create_index.name": "my-nlp-index", | ||
| "create_index.settings.number_of_shards": "2", | ||
| "create_index.mappings.method.engine": "lucene", | ||
| "create_index.mappings.method.space_type": "l2", | ||
| "create_index.mappings.method.name": "hnsw", | ||
| "text_embedding.field_map.output.dimension": "1024", | ||
| "create_search_pipeline.pipeline_id": "default_model_pipeline", | ||
| "reindex.source_index": "", | ||
| "reindex.requests_per_second": "-1", | ||
| "reindex.slices": "1" | ||
| } |
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109 changes: 109 additions & 0 deletions
109
src/main/resources/substitutionTemplates/hybrid-search-with-local-model-template.json
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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| { | ||
| "name": "${{template.name}}", | ||
| "description": "${{template.description}}", | ||
| "use_case": "HYBRID_SEARCH", | ||
| "version": { | ||
| "template": "1.0.0", | ||
| "compatibility": [ | ||
| "2.12.0", | ||
| "3.0.0" | ||
| ] | ||
| }, | ||
| "workflows": { | ||
| "provision": { | ||
| "nodes": [ | ||
| { | ||
| "id": "register_local_pretrained_model", | ||
| "type": "register_local_pretrained_model", | ||
| "user_inputs": { | ||
| "name": "${{register_local_pretrained_model.name}}", | ||
| "version": "${{register_local_pretrained_model.version}}", | ||
| "description": "${{register_local_pretrained_model.description}}", | ||
| "model_format": "${{register_local_pretrained_model.model_format}}", | ||
| "deploy": true | ||
| } | ||
| }, | ||
| { | ||
| "id": "create_ingest_pipeline", | ||
| "type": "create_ingest_pipeline", | ||
| "previous_node_inputs": { | ||
| "register_local_pretrained_model": "model_id" | ||
| }, | ||
| "user_inputs": { | ||
| "pipeline_id": "${{create_ingest_pipeline.pipeline_id}}", | ||
| "configurations": { | ||
| "description": "${{create_ingest_pipeline.description}}", | ||
| "processors": [ | ||
| { | ||
| "text_embedding": { | ||
| "model_id": "${{register_local_pretrained_model.model_id}}", | ||
| "field_map": { | ||
| "${{text_embedding.field_map.input}}": "${{text_embedding.field_map.output}}" | ||
| } | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| }, | ||
| { | ||
| "id": "create_index", | ||
| "type": "create_index", | ||
| "previous_node_inputs": { | ||
| "create_ingest_pipeline": "pipeline_id" | ||
| }, | ||
| "user_inputs": { | ||
| "index_name": "${{create_index.name}}", | ||
| "configurations": { | ||
| "settings": { | ||
| "index.knn": true, | ||
| "default_pipeline": "${{create_ingest_pipeline.pipeline_id}}", | ||
| "number_of_shards": "${{create_index.settings.number_of_shards}}", | ||
| "index.search.default_pipeline": "${{create_search_pipeline.pipeline_id}}" | ||
| }, | ||
| "mappings": { | ||
| "properties": { | ||
| "${{text_embedding.field_map.output}}": { | ||
| "type": "knn_vector", | ||
| "dimension": "${{text_embedding.field_map.output.dimension}}", | ||
| "method": { | ||
| "engine": "${{create_index.mappings.method.engine}}", | ||
| "space_type": "${{create_index.mappings.method.space_type}}", | ||
| "name": "${{create_index.mappings.method.name}}", | ||
| "parameters": {} | ||
| } | ||
| }, | ||
| "${{text_embedding.field_map.input}}": { | ||
| "type": "text" | ||
| } | ||
| } | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| { | ||
| "id": "create_search_pipeline", | ||
| "type": "create_search_pipeline", | ||
| "user_inputs": { | ||
| "pipeline_id": "${{create_search_pipeline.pipeline_id}}", | ||
| "configurations": { | ||
| "description": "Post processor for hybrid search", | ||
| "phase_results_processors": [ | ||
| { | ||
| "normalization-processor": { | ||
| "normalization": { | ||
| "technique": "${{normalization-processor.normalization.technique}}" | ||
| }, | ||
| "combination": { | ||
| "technique": "${{normalization-processor.combination.technique}}" | ||
| } | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| } | ||
| } |
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