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# Improve pinecone hybrid search retriever adding metadata support I simply remove the hardwiring of metadata to the existing implementation allowing one to pass `metadatas` attribute to the constructors and in `get_relevant_documents`. I also add one missing pip install to the accompanying notebook (I am not adding dependencies, they were pre-existing). First contribution, just hoping to help, feel free to critique :) my twitter username is `@andreliebschner` While looking at hybrid search I noticed #3043 and #1743. I think the former can be closed as following the example right now (even prior to my improvements) works just fine, the latter I think can be also closed safely, maybe pointing out the relevant classes and example. Should I reply those issues mentioning someone? @dev2049, @hwchase17 --------- Co-authored-by: Andreas Liebschner <a.liebschner@shopfully.com> |
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| .. | ||
| arxiv.ipynb | ||
| azure-cognitive-search-retriever.ipynb | ||
| chatgpt-plugin.ipynb | ||
| chroma_self_query.ipynb | ||
| cohere-reranker.ipynb | ||
| contextual-compression.ipynb | ||
| databerry.ipynb | ||
| elastic_search_bm25.ipynb | ||
| knn.ipynb | ||
| metal.ipynb | ||
| pinecone_hybrid_search.ipynb | ||
| self_query.ipynb | ||
| svm.ipynb | ||
| tf_idf.ipynb | ||
| time_weighted_vectorstore.ipynb | ||
| vectorstore.ipynb | ||
| vespa.ipynb | ||
| weaviate_self_query.ipynb | ||
| weaviate-hybrid.ipynb | ||
| wikipedia.ipynb | ||
| zep_memorystore.ipynb | ||