Explore tweets tagged as #RAGApplication
@GenestClement
ClΓ©ment Genest
2 years
🌍 RAG: Recommended for Document-Based Responses πŸ“„ RAG is preferred when the model needs to base its responses on identified documentary sources, adding extensive external information while maintaining the model's overall vision. #RAGApplication #DocumentarySources
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@jamwescol
James Colvin
2 years
Build a fully functioning chatbot with memory in just 5 minutes? Patrick McFadin shows you how to use Langflow to do just that! #RAGApplication #Langflow #LangChain #DataStax https://t.co/sIqZyWzuk9
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@javaamtho
Pankaj
2 years
Discover why esynergy called DataStax the "brain behind GenAI apps." 🧠 Read the technical case study ⬇️ #AIChatbot #RAGApplication #GenAI #VectorDB https://t.co/tdUgwnnPlC
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@astronomerio
Astronomer
1 year
Interested in building #GenAIapps, but not sure where to get started? @astronomerio's latest academy module, Intro to #GenAI with #Airflow, covers just this! πŸŽ“ Start learning here πŸ‘‰ https://t.co/DqP70kSnyL #dataengineering #dataorchestration #datapipelines #RAGapplication
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@SonicDMG
David Jones-Gilardi @Langflow
2 years
Discover why esynergy called DataStax the "brain behind GenAI apps." 🧠 Read the technical case study ⬇️ #AIChatbot #RAGApplication #GenAI #VectorDB https://t.co/D2WZyAm2Bd
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@weideng
@weideng
2 years
Discover why esynergy called DataStax the "brain behind GenAI apps." 🧠 Read the technical case study ⬇️ #AIChatbot #RAGApplication #GenAI #VectorDB https://t.co/s8riTtxmRC
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@DBohrisch
DBohrisch
2 years
Discover why esynergy called DataStax the "brain behind GenAI apps." 🧠 Read the technical case study ⬇️ #AIChatbot #RAGApplication #GenAI #VectorDB https://t.co/CGRzZdnMXg
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@kmuratk
Murat KARAKAYA
2 years
πŸš€ Coding ChromaDB for Multiple Documents: Vector Storage & Similarity Search πŸš€ 🌟 We dive into coding with ChromaDB for vector storage and similarity search with multiple documents. πŸ”— https://t.co/ywwoqZQwUe #ChromaDB #VectorStorage #RAG #RAGApplication #MuratKarakayaAkademi
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@Vbhambrime
Vikram Bhambri
2 years
Discover why esynergy called DataStax the "brain behind GenAI apps." 🧠 Read the technical case study ⬇️ #AIChatbot #RAGApplication #GenAI #VectorDB https://t.co/BzakV23KRo
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@Vbhambrime
Vikram Bhambri
2 years
Check out the technical architecture behind esynergy's Sales Copilot β€”Β an AI-powered conversational assistant for sales teams! #DataStax #AstraDB #VectorDB #LangChain #RagApplication https://t.co/35Fnkqh2X3
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@DBohrisch
DBohrisch
2 years
DataStax is showcasing a new cool fashion demo at #GoogleCloudNext πŸ”₯ Meet "Fashion Buddy," a Generative AI App Built with DataStax Astra DB and Vertex AI. #AIApplication #RAGApplication #VectorDB
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@javaamtho
Pankaj
2 years
Building a RAG application is easy with #LangChain + Astra DB. DataStax's Andy Gujral shows you how β€” with just 50 lines of code. ✨ Get started now: https://t.co/7zQGJ5liSP #RAGApplication #DeveloperCommunity #TechTutorial
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@manojofficialmj
Manoj Kumar
5 months
πŸ‘‰ You can use this app whether you are technical or non-technical – no complex setup, just enter your API key locally and start chatting with your data. πŸ“¦ Repository: https://t.co/m0DiYFbIWn #Nextjs #LangChain #OpenAI #RAG #AI #chaiaurcode
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@SonicDMG
David Jones-Gilardi @Langflow
2 years
DataStax is showcasing a new cool fashion demo at #GoogleCloudNext πŸ”₯ Meet "Fashion Buddy," a Generative AI App Built with DataStax Astra DB and Vertex AI. #AIApplication #RAGApplication #VectorDB
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@javaamtho
Pankaj
2 years
Build a fully functioning chatbot with memory in just 5 minutes? Patrick McFadin shows you how to use Langflow to do just that! #RAGApplication #Langflow #LangChain #DataStax https://t.co/QdXYQnB7gO
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@javaamtho
Pankaj
2 years
Super cool -> Watch how DataStax's Aaron Ploetz built an an Edgar Allan Poe RAG chatbot in less than 10 minutes. All done with Langflow and Astra DB. #RAGApplication #GenAI #VectorDB https://t.co/F9Q0RFszFN
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