# Top vector database alternatives for RAG pipelines

DevFeed: [Top vector database alternatives for RAG pipelines](<https://devfeed.tech/articles/top-vector-database-alternatives-for-rag-pipelines-4858.md>)

Original publisher: [Read original article](<https://redis.io/blog/vector-database-alternatives-rag-pipelines/>)

Author: Jeff Mills

Published: 2026-08-05T00:00:00Z

Content type: comparison

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [Retrieval Augmented Generation (RAG)](<https://devfeed.tech/topics/retrieval-augmented-generation-rag.md>), [AI search](<https://devfeed.tech/topics/ai-search.md>)

Tags: [cache](<https://devfeed.tech/tags/cache.md>), [database](<https://devfeed.tech/tags/database.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [rag](<https://devfeed.tech/tags/rag.md>), [redis](<https://devfeed.tech/tags/redis.md>), [tech-de](<https://devfeed.tech/tags/tech-de.md>), [vector](<https://devfeed.tech/tags/vector.md>)

## AI overview

A comparison of vector-search architectures for RAG pipelines, contrasting Redis as a unified real-time platform with dedicated vector databases and PostgreSQL with pgvector. It focuses on infrastructure overhead, coordination, scaling costs, caching, session management, and operational tradeoffs.

## Source excerpt

You're building an AI app: maybe a RAG system, an agent with memory, or a chatbot with semantic caching. You need vector search, and you're weighing your options. One is a unified real-time platform like Redis, which runs vector search alongside cachi...