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Benchmarking Dify's Vector Store Layer: Qdrant vs pgvector Under 500 RPS Concurrent Agent Queries
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Benchmarking Dify's Vector Store Layer: Qdrant vs pgvector Under 500 RPS Concurrent Agent Queries

DEV Community: database·Samuel Oakley·7 days ago
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#devtodatabase#devto#dev#vector#embedding

Load testing Dify's RAG retrieval backends with wrk and pytest-asyncio. Measuring p99 latency, memory overhead, and recall drift at production scale.

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Benchmarking Dify RAG Pipelines: Token Consumption, Cache Hit Rates, and Retrieval Latency Under Load
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Benchmarking Dify RAG Pipelines: Token Consumption, Cache Hit Rates, and Retrieval Latency Under Load

DEV Community: datascience·JJ657·15 days ago
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#devtodatascience#science#devto#dev#cache

Concrete benchmarks measuring Dify's RAG performance: token economics with prompt caching, p95 latency under concurrent queries, and cost breakpoints.

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Dify: Free Open-Source AI App Builder for Chatbots and Workflows
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Dify: Free Open-Source AI App Builder for Chatbots and Workflows

DEV Community·toolfreebie·6 months ago
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#ai#automation#software#dify#workflow

Dify is a free, open-source platform to build AI chatbots, RAG knowledge bases, and LLM workflows visually — no backend code required. Self-host on Docker for unlimited apps and zero usage costs.

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Building RAG & Knowledge Bases with seekdb: Three Paths, One Stack
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Building RAG & Knowledge Bases with seekdb: Three Paths, One Stack

DEV Community·Charles Wu·7 months ago
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#path#ai#database#opensource#seekdb

The real headache in RAG isn’t retrieval or generation — it’s the layer in between. Where does the...

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