Day 102/150 – 02/09/2025
Semantic search takes RAG beyond keywords.
Tried out OpenAI’s text-embedding-3-small with cosine similarity for scoring — feels way more natural in retrieval.
Also kicked off CNNs in Deep Learning.
#RAG#SemanticSearch#DL#letsconnect
Day 101/150 – 01/09/2025
Without embeddings, RAG is just keyword search.
→ Worked on Embeddings with HuggingFace & OpenAI
→ Traditional DB → Exact match
→ Vector DB → Cosine similarity (Semantic search in RAG)
That’s why embeddings are key for RAG.
#RAG#letsconnect
Day 100/100 – 31/08/2025
Last 3 days (Day 98 → Day 100):
1. Working on Multimodal RAG project – PDFs (tables/images/text) using LangChain & Unstructured.
2. Revisiting DL model building (TensorFlow/Keras).
3. SQL revision – LC problem solving.
#letsconnect#learninpublc
Day 97/100 – 28/08/2025
1️⃣ Worked on DL model building using TensorFlow/Keras.
2️⃣ Continued with RAG – SQL Database ingestion & parsing using LangChain.
3️⃣ Solved some SQL practice problems.
#letsconnect#learninpublic#buildinpublic
🚀 Hey !
I’m looking to #connect with folks who are into:
✨ JavaScript
🖥 Full Stack Development
🧑💻 Freelancing
🌀 Node.js
🌐 Web3
🎨 UI/UX Design
Let’s grow together 💪
Drop a 👋 or follow – I’ll follow back
#letsconnect
We hit 600 today, thank you all.
coding all day feels better when your editor looks this cool 🔥
thanks @Hiteshdotcom for the chai theme, my vscode never looked this cool. https://t.co/ggQgF7ELQU
Day 92 to 96/100 – 27/08/2025
1. Finished ML sentiment analysis project.
2. Worked on DL model building using TensorFlow/Keras
3. Also worked on RAG – data ingestion and parsing for text files, PDFs, DOCX, XLSX, and JSON.
#letsconnect#learninpublic#buildinpublic
Day (92/100) – 22/08/2025
→ Morning Run: 5.2k
→ Deep Learning: Practiced model building on MNIST dataset.
→ RAG: Data ingestion & parsing (loading and splitting PDFs with LangChain).
#letsconnect#buildinpublic#learninpublic
Day (91/100) – 21/08/2025
→ Morning Run: 5k
→ Deep Learning: Started Model Building w/ TensorFlow & Keras
→ RAG: Data Ingestion & Parsing (Loading and Splitting TXT files using LangChain)
#letsconnect#buildinpublic#learninpublic
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