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Using Redis as a vector database with OpenAI


Using Redis as a vector database with OpenAI

This notebook will show you how to use the RediSearch module to index and search for vectors created by using the OpenAI API and stored in Redis.

Using Redis for embeddings search - OpenAI Cookbook

The next vector database covered in this tutorial is Redis. You most likely already know Redis. What you might not be aware of is the RediSearch module.

Using Redis for embeddings - API - OpenAI Developer Forum

After looking at ways to handle embeddings, in my use case storing embedding vectors in my own database is not efficient performance-wise.

Creating a Vector Database with Redis and OpenAI - RisingWave

Use Cases for OpenAI in Vector Databases ... Enhanced Search Relevance: By integrating OpenAI with Redis, developers can improve search relevance by analyzing ...

How to store OpenAI embeddings in Redis Vector Database?

Redis, Redis Vector Database, Azure Cache for Redis, Azure Redis enterprise. Are these terms same? Redis is an opensource caching technology ...

Running hybrid VSS queries with Redis and OpenAI

This notebook provides an introduction to using Redis as a vector database with OpenAI embeddings and running hybrid queries that combine VSS and lexical ...

[D] Redis as vector database. Any personal experiences? - Reddit

The better advice is probably to stick with your dominant data persistence and query technology, though. If that's RediSearch, stick with it. If ...

Redis as a vector database quick start guide | Docs

You can use Redis Stack as a vector database. It allows you to: Store vectors and the associated metadata within hashes or JSON documents; Create and configure ...

openai-cookbook/examples/vector_databases/redis/README.md at ...

Examples and guides for using the OpenAI API ... For more information on how to use Redis as a vector database, check out the following resources:.

Redis as a Vector Database Explained - YouTube

... Redis has anything to do with using Redis as a vector store? 43:31 ... Chroma - Vector Database for LLM Applications | OpenAI integration.

How to use a redis or other database to store docstores with Multi ...

How to use a redis or other database to store docstores with Multi-modal RAG in OpenAI and LangChain? · The vectorstore to use to index the child ...

Using Redis for real-time RAG goes beyond a Vector Database

The Redis vector search algorithm uses highly efficient in-memory data structures and a dedicated search engine, resulting in up to 50 times faster search.

Using Redis as vector storage to connect a Website to OpenAI

Using Redis as vector storage to connect a Website to OpenAI — From Building the index to Querying the index · Setting up Redis · Loading the data ...

OpenAI Embeddings and Vector Search with Redis - YouTube

In this month's community standup, we'll walk through how to use Azure Cache for Redis Enterprise to store and compare embeddings vectors ...

How to use Redis Cache Vector storage with Azure Open AI?

My understanding is that you are looking on how to store vectors with Redis Cache using OpenAI. There is a new Blog recently published by our ...

Redis Vector Store | 🦜 LangChain

Since Redis is much more than just a vector database, there are often use cases that demand the usage of a Redis client besides just the LangChain integration.

Building a Vector Database with Redis, FastAPI, and OpenAI for AI ...

In this article, we will explore the importance of vector databases, how Redis Stack works, and how to combine Redis, FastAPI, and OpenAI's GPT-4 to create a ...

GenAI LLM chatbot application using Redis as Vector database and ...

GenAI LLM chatbot application using Redis as Vector database and Azure OpenAI - alexvasseur/redis-chatbot-azureopenai.

Redis vectors as JSON with OpenAI

Prerequisites · Installation · OpenAI API Key · Create Text Vectors · Start the Redis Stack Docker container · Connect Redis client · Create Index · Load Data into ...

Redis Vector Store - LlamaIndex

The index will use the data as the knowledge base for an LLM. The default setting for as_query_engine() utilizes OpenAI embeddings and GPT as the language model ...