Introduces opensearch_multimodel.py, a new component supporting multi-model hybrid search and ingestion in OpenSearch with dynamic vector fields, parallel embedding, and advanced filtering. Refactors embedding generation in opensearch.py to use tenacity-based retry logic and IBM/Watsonx rate limiting. Updates related flow JSONs to integrate the new component. |
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| .. | ||
| ollama_embedding.json | ||
| ollama_llm.json | ||
| ollama_llm_text.json | ||
| opensearch.py | ||
| opensearch_multimodel.py | ||
| watsonx_embedding.json | ||
| watsonx_llm.json | ||
| watsonx_llm_text.json | ||