RAG Retrieval

Rag Retrieval is seeing a massive surge in social media activity, with engagements up nearly 30% and creators hitting all-time highs. Top posts highlight advanced RAG implementations and comparisons with other AI models, indicating strong community interest and development.

About RAG Retrieval

Rag Retrieval (RAG) is a technique that enhances large language models by providing them with external knowledge from a data source.

Insights

rag retrieval mentions hit [---] which is 259% higher than it's daily average.
rag retrieval mentions near a 52-week high at [---].
rag retrieval creators hit [---] which is 227% higher than it's daily average.
rag retrieval engagements is up 35.3% from the previous week.
rag retrieval posts created is up 34.43% from the previous week.
rag retrieval Creators hit a 52-Week high of [---] for the day
rag retrieval Creators hit an all time of [---] for the day
rag retrieval Mentions hit a 52-Week high of [---] for the day
rag retrieval Mentions hit an all time of [---] for the day

Engagements: [------] (24h)

Engagements Line Chart
Engagements 24-Hour Time-Series Raw Data
Current Value: [------]
Daily Average: [------]
[--] Week: [------] +35%
[--] Month: [-------] -33%
[--] Months: [---------] +5.30%
[--] Year: [---------] +58%
1-Year High: [-------] on 2025-08-20
1-Year Low: [--] on 2025-08-02

Engagements by network (24h): YouTube: [------] Instagram: [---] TikTok: [---] Reddit: [--] X: [------]

Mentions: [---] (24h)

Mentions Line Chart
Mentions 24-Hour Time-Series Raw Data
Current Value: [---]
Daily Average: [--]
[--] Week: [---] +6.70%
1-Year High: [---] on 2026-02-17
1-Year Low: [--] on 2025-08-17

Mentions by network (24h): YouTube: [---] Instagram: [--] TikTok: [--] Reddit: [--] X: [--]

Creators: [---] (24h)

Creators Line Chart
Creators 24-Hour Time-Series Raw Data
[---] unique social accounts have posts mentioning RAG Retrieval in the last [--] hours which is up 69% from [--] in the previous [--] hours Daily Average: [--]
[--] Week: [---] +2.70%
1-Year High: [---] on 2026-02-17
1-Year Low: [--] on 2025-08-02

The most influential creators that mention RAG Retrieval in the last [--] hours

Creator	Rank	Followers	Posts	Engagements
@SumitM_X	[--]	[------]	[--]	[------]
@ibmtechnology	[--]	[---------]	[--]	[-----]
@tunemusicalmoments	[--]	[---------]	[--]	[---]
@krishnaik06	[--]	[---------]	[--]	[---]
@dwoodlock	[--]	[------]	[--]	[---]
@simplilearnofficial	[--]	[---------]	[--]	[---]
@arjay_mccandless	[--]	[------]	[--]	[--]
@bipinpateliitd	[--]	[---]	[--]	[--]
@OnyxProyectoUno	[--]		[--]	[--]
@BitterHouse8234	[--]		[--]	[--]

Sentiment: 94%

Sentiment Line Chart
Sentiment 24-Hour Time-Series Raw Data
Current Value: 94%
Daily Average: 98%
[--] Week: 100% no change
[--] Month: 94% -4%
[--] Months: 94% -6%
[--] Year: 94% -6%
1-Year High: 100% on 2025-02-18
1-Year Low: 73% on 2026-01-05

Most Supportive Themes:

YouTube Tutorials and Explanations: (70%) Detailed video content explaining RAG, its implementation with various tools like LangChain, Ollama, and ChromaDB, and its applications in AI development.
RAG vs. Other AI Concepts: (20%) Content comparing RAG with other AI models like LLMs and AI Agents, highlighting its advantages and use cases.
Local RAG Implementations: (10%) Guides and tutorials on setting up and running RAG locally using tools like LM Studio and AnythingLLM, emphasizing data control.

Most Critical Themes: