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์—์ด์ „ํŠธ ์ฝ”๋“œ ์˜ˆ์ œ

Vision RAG with Cohere Embed-4 ๐Ÿ–ผ๏ธ

A powerful visual Retrieval-Augmented Generation (RAG) system that utilizes Cohere's state-of-the-art Embed-4 model for multimodal embedding and Google's efficient Gemini 2.5 Flash model for answering questions about images and PDF pages.

์›๋ณธ ์ˆ˜์ง‘ ยท ์‹คํ–‰ ๋ฏธ๊ฒ€์ฆ

์›์ž‘์ž์™€ ์›๋ณธ ๊ธฐ๋ก

์ถœ์ฒ˜
Shubhamsaboo/awesome-llm-apps
์›๋ณธ ๊ฒฝ๋กœ
rag_tutorials/vision_rag/README.md
๊ณ ์ • ์ปค๋ฐ‹ / ์Šค๋ƒ…์ƒท
afb10d491b938eedf35cf79a826c881b84405dfb
ํŒŒ์ผ SHA-256
5c2bcf91ede498c5762968223c648ec9830c7fc9f79b5016140eee4409ba0fd3
์ด์šฉ ์กฐ๊ฑด
Apache-2.0 ยท ๊ณ ์ง€๋ฌธ ๋ณด๊ด€

๋‚ด ์—์ด์ „ํŠธ์— ์ถ”๊ฐ€

๋กœ๊ทธ์ธํ•˜๋ฉด ๋‚ด ์—์ด์ „ํŠธ์— ์ด ์ž๋ฃŒ๋ฅผ ๋“ฑ๋กํ•ด ๋‘๊ณ , ์–ด๋–ค ๋ฒ„์ „์„ ์“ฐ๋Š”์ง€ ํ•จ๊ป˜ ๊ด€๋ฆฌํ•  ์ˆ˜ ์žˆ์–ด์š”.

๋กœ๊ทธ์ธํ•˜๊ณ  ์‚ฌ์šฉํ•˜๊ธฐ

์ด ์›๋ณธ์œผ๋กœ ๋ฐฐ์šฐ๋Š” ํ•™์Šต์šฉ ์—์ด์ „ํŠธ

์ด ์›๋ณธ์€ ์ˆ˜์ง‘ ๋‹จ๊ณ„์ž…๋‹ˆ๋‹ค. ํ•œ๊ตญ์–ด ํ•™์Šต ํŒจํ‚ค์ง€์™€ ์ง๋ฌด๋ณ„ ์ ์šฉ ๊ธฐ์ค€์€ ์•„์ง ํŽธ์ง‘ํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.