Records found: 6
'seekdb unifies vector, full text and relational search in a single MySQL-compatible engine, enabling RAG and agent workflows to run hybrid retrieval and in-database AI functions with one SQL query.'
'Pyversity is a lightweight Python library that re-ranks retrieval outputs to balance relevance and diversity. This guide shows how MMR and MSD reduce redundant results with practical code examples.'
'Learn how to build an AI agent that summarizes recent conversations for short-term context and stores distilled facts in a FAISS-backed vector memory for long-term recall.'
'LEANN is a storage-efficient ANN index that recomputes embeddings on demand to cut index size below 5% while keeping strong accuracy and fast query times.'
Microsoft researchers have integrated DiskANN into Azure Cosmos DB to create a scalable, cost-efficient vector search system with low latency, improving semantic search capabilities within transactional databases.
This guide shows how to build a semantic search and question-answering system using Together AI embeddings, FAISS vector search, and LangChain, all in a modular and efficient pipeline.