tools/database/queries.py [80:96]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        if search_approach == TERM_SEARCH_APPROACH:
            body["search"] = search_query
        elif search_approach == VECTOR_SEARCH_APPROACH:
            body["vectorQueries"] = [{
                "kind": "vector",
                "vector": embeddings_query,
                "fields": "contentVector",
                "k": int(search_top_k)
            }]
        elif search_approach == HYBRID_SEARCH_APPROACH:
            body["search"] = search_query
            body["vectorQueries"] = [{
                "kind": "vector",
                "vector": embeddings_query,
                "fields": "contentVector",
                "k": int(search_top_k)
            }]
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -



tools/ragindex/vector_index_retrieval.py [113:129]:
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
        if search_approach == TERM_SEARCH_APPROACH:
            body["search"] = search_query
        elif search_approach == VECTOR_SEARCH_APPROACH:
            body["vectorQueries"] = [{
                "kind": "vector",
                "vector": embeddings_query,
                "fields": "contentVector",
                "k": int(search_top_k)
            }]
        elif search_approach == HYBRID_SEARCH_APPROACH:
            body["search"] = search_query
            body["vectorQueries"] = [{
                "kind": "vector",
                "vector": embeddings_query,
                "fields": "contentVector",
                "k": int(search_top_k)
            }]
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -