Mar 28, 2024 SuryaNarayanaKorivipadu Hi, thanks a lot for your interest in using Redis for Vector Database. I am a Product Manager in the Azure Cache for Redis team, and looking into scenarios where customers use Redis for semantic search or vector search. Would you ...
I've read about Azure Cache for Redis and Redis Enterprise. But I'm not sure if they're referring to Redis Vector Database. Is Redis Vector Database...
Used as a vector database, Azure Cache for Redis functions as an external knowledge repository for generative models offering real-time updates. Redis stores vector embeddings and computes vector similarity with high performance and low latency. The Azure OpenAI integration makes building faster than ...
//初始化 Redis连接ConnectionMultiplexer connectionMultiplexer =awaitConnectionMultiplexer.ConnectAsync(redisConnection);IDatabase database = connectionMultiplexer.GetDatabase; //创建和使用 Redis 语义内存存储RedisMemoryStore memoryStore =newRedisMemoryStore(database, vectorSize:1536);varmemory =newSemanticTextMemor...
These embeddings are persisted to the vector database. This solution uses the Enterprise tier of Azure Cache for Redis, but any vector database can be used.Query and retrieval:The user sends a query via a user application. The Azure OpenAI embedding model is used to convert the query...
OpenAI on your Data uses Azure Cognitive Search as the Vector Database, but you are free to build your own solution on any that suites your requirements. Even Redis can be used here for example. And in your case, Azure Cognitive Search is a good option since it includes the necessary pr...
We are using Azure cache for Redis for standard key look up use case. Now we want to enable fuzzy search (full text) and vector db for our Redis. I see these capabilities are there in Redis Enterprise. Do I need to migrate to Create --> Redis… ...
Azure Open AI Embedding API,text-embedding-ada-002, supports 1536 dimensions. Elastic search, Lucene based engine, supports 1024 dimensions as a max. Open search can insert 16,000 dimensions as a vector storage. Open search is available to use as a vector database with Azure Open AI Embeddin...
It can accommodate all your operational data models, including relational, document, vector, key-value, graph, and table. An AI database providing industry-leading capabilities... ...for free Azure Cosmos DB is a fully managed NoSQL, relational, and vector database. It offers single-digit ...
This sample makes of ChromaDB vector database, but you can easily modify the code to use another vector database. You can even use Azure Cache for Redis Enterprise to store the vector embeddings and compute vector similarity with high performance and low latency. For more information, see Vec...