I built a tool called Qdrant Vector Aggregator to solve a common problem in vector-DB workflows:
You store chunk embeddings in Qdrant, but later you want document-level embeddings without losing the full document text.
Thank you! I built it because I work in legaltech, and we often need to embed entire case laws, statutes, contracts, and long opinions for comparison, clustering, and similarity analysis etc. I can see it as a built-in feature with Qdrant.
Thank you! I built it because I work in legaltech, and we often need to embed entire case laws, statutes, contracts, and long opinions for comparison, clustering, and similarity analysis etc. I can see it as a built-in feature with Qdrant.
