Rag playlist : th-cam.com/play/PLsWT1KyYSHnmKnh9w_rdRtg6CJ38NcFVP.html&si=t9qoDt3Xtr2qYic3
Gemini series:th-cam.com/play/PLsWT1KyYSHnkOXkMdSeePtjuwJGHR6azS.html
Generative AI projects:th-cam.com/play/PLsWT1KyYSHnmz4KGZlS20YXiWIX0xwC_p.html
Python course playlist: th-cam.com/play/PLsWT1KyYSHnm7EMwfAUtDZ2_yIISpXp1y.html
python projects: th-cam.com/play/PLsWT1KyYSHnn_xxq1y073VLFS4LNxHIxa.html&si=lV-zmNmXydl2pEV0
Explore the integration of GROQ for high-speed processing, Cohere's Rerank for optimized answer selection, and Pinecone as a vector database. Enhance your Retrieval-Augmented Generation (RAG) pipeline with Nomic's Text Embed model for effective embeddings and Mixtral for robust language generation. This setup aims to achieve top-notch performance in search and retrieval tasks.
code: colab.research.google.com/drive/1hGF6LQHHbPNgQ5tzJ1DoppItsZ3d01Cy?usp=sharing
🔗 Connect with us
information website: linktr.ee/techcodio_23
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LinkedIn :www.linkedin.com/in/adepubharathkumar
channel Instagram: HTTPs:// techcodio
GitHub: github.com/bharath23-design
personal Instagram: bharath_roxzer
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