@@ -20,15 +20,15 @@ This guide will introduce you to the fundamentals of embeddings within PostgresM
2020
2121In this guide, we will cover:
2222
23- * [ In-database Generation] ( guides/embeddings/ in-database-generation.md)
24- * [ Dimensionality Reduction] ( guides/embeddings/ dimensionality-reduction.md)
25- * [ Aggregation] ( guides/embeddings/ vector-aggregation.md)
26- * [ Similarity] ( guides/embeddings/ vector-similarity.md)
27- * [ Normalization] ( guides/embeddings/ vector-normalization.md)
23+ * [ In-database Generation] ( in-database-generation.md )
24+ * [ Dimensionality Reduction] ( dimensionality-reduction.md )
25+ * [ Aggregation] ( vector-aggregation.md )
26+ * [ Similarity] ( vector-similarity.md )
27+ * [ Normalization] ( vector-normalization.md )
2828<!--
29- * [Indexing w/ pgvector](guides/embeddings/ indexing-w-pgvector.md)
30- * [Re-ranking nearest neighbors](guides/embeddings/ re-ranking-nearest-neighbors.md)
31- * [Proprietary Models](guides/embeddings/ proprietary-models.md)
29+ * [Indexing w/ pgvector](indexing-w-pgvector.md)
30+ * [Re-ranking nearest neighbors](re-ranking-nearest-neighbors.md)
31+ * [Proprietary Models](proprietary-models.md)
3232-->
3333
3434##Embeddings are vectors