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  {
    "url": "https://www.instagram.com/codewithbrij/reel/DYWIamDuwRF/",
    "reel_id": "DYWIamDuwRF",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"Claude Code has 4 superpowers. Most teams only use one of them well.\n\n𝗦𝗸𝗶𝗹𝗹𝘀 → instructions loaded into context only when needed. Knowledge + procedure. Zero API surface.\n\n𝗠𝗖𝗣 → a live bridge to systems Claude doesn’t own. External access, real I/O.\n\n𝗦𝘂𝗯𝗮𝗴𝗲𝗻𝘁𝘀 → a delegated context window for one focused loop. Returns a summary, not the whole transcript.\n\n𝗣𝗹𝘂𝗴𝗶𝗻𝘀 → the shipping crate. Versioned, installable, wraps the other three so your team can use them too.\n\nHere’s the part nobody says out loud:\n\nHalf the “agentic systems” I review reach for MCP when a 200-line Skill would do the job in a fraction of the tokens. MCP is powerful. It is also the most expensive option in the toolbox.\n\nThe decision is almost always simpler than the architecture diagram suggests:\n\nNeed know-how? → Skill.\nNeed to talk to a system? → MCP.\nNeed a long isolated task? → Subagent.\nNeed to ship a workflow? → Plugin.\n\nWhich one do you think gets misused most often in production?\n\n— Brij\n\n✦\n\nSave this for the next architecture review.\"",
    "og:image": "https://scontent-bos5-1.cdninstagram.com/v/t51.71878-15/700853654_1366017348894732_2382264774153693082_n.jpg?stp=cmp1_dst-jpg_e35_s640x640_tt6&_nc_cat=111&ccb=7-5&_nc_sid=18de74&efg=eyJlZmdfdGFnIjoiQ0xJUFMuYmVzdF9pbWFnZV91cmxnZW4uQzMifQ%3D%3D&_nc_ohc=DXFLwSfRWbsQ7kNvwFLWiCZ&_nc_oc=AdrHEJCp7EDEXXPIvdHUNGlqSzot1N4dqRRZwN5vtjU9BtRs9wy_EiiArubVipnDo9Y&_nc_zt=23&_nc_ht=scontent-bos5-1.cdninstagram.com&_nc_gid=OEBqIH-JQN9dC0J6labCww&_nc_ss=7b60f&oh=00_Af7LV_N_K5qec_00eComuyRO7YqVHiK03iq78fw9KWmjnw&oe=6A0E3430",
    "og:description": "82 likes, 0 comments - codewithbrij on May 14, 2026: \"Claude Code has 4 superpowers. Most teams only use one of them well.\n\n𝗦𝗸𝗶𝗹𝗹𝘀 → instructions loaded into context only when needed. Knowledge + procedure. Zero API surface.\n\n𝗠𝗖𝗣 → a live bridge to systems Claude doesn’t own. External access, real I/O.\n\n𝗦𝘂𝗯𝗮𝗴𝗲𝗻𝘁𝘀 → a delegated context window for one focused loop. Returns a summary, not the whole transcript.\n\n𝗣𝗹𝘂𝗴𝗶𝗻𝘀 → the shipping crate. Versioned, installable, wraps the other three so your team can use them too.\n\nHere’s the part nobody says out loud:\n\nHalf the “agentic systems” I review reach for MCP when a 200-line Skill would do the job in a fraction of the tokens. MCP is powerful. It is also the most expensive option in the toolbox.\n\nThe decision is almost always simpler than the architecture diagram suggests:\n\nNeed know-how? → Skill.\nNeed to talk to a system? → MCP.\nNeed a long isolated task? → Subagent.\nNeed to ship a workflow? → Plugin.\n\nWhich one do you think gets misused most often in production?\n\n— Brij\n\n✦\n\nSave this for the next architecture review.\". ",
    "keywords": "claude superpowers,skills,mcp,subagents,plugins,workflow optimization,productivity,artificial intelligence,ai,agentic systems,team collaboration"
  },
  {
    "url": "https://www.instagram.com/codewithbrij/reel/DYEGaGIOu_b/",
    "reel_id": "DYEGaGIOu_b",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"Want to lean Claude code this Sunday ?\"",
    "og:image": "https://scontent-bos5-1.cdninstagram.com/v/t51.71878-15/686257640_1687551162582199_3057741183597659569_n.jpg?stp=cmp1_dst-jpg_e35_s640x640_tt6&_nc_cat=108&ccb=7-5&_nc_sid=18de74&efg=eyJlZmdfdGFnIjoiQ0xJUFMuYmVzdF9pbWFnZV91cmxnZW4uQzMifQ%3D%3D&_nc_ohc=vFTHx1gd_J0Q7kNvwHot_zV&_nc_oc=AdpUYa5asOWvzDaCN-EuRypdUoHciu1FlfT8rfh6F82kuaGsxKb0oiB_IzeVYE8mcbs&_nc_zt=23&_nc_ht=scontent-bos5-1.cdninstagram.com&_nc_gid=QVgo5-xYoDza9WaitOvmAQ&_nc_ss=7b60f&oh=00_Af5Pn3nMIk6nzChFm8H39Gvz_0TfxIxmRNNHRaj63o96jA&oe=6A0E05EE",
    "og:description": "88 likes, 8 comments - codewithbrij on May 7, 2026: \"Want to lean Claude code this Sunday ?\". ",
    "keywords": "claude code,claude skills,productivity hacks,sunday tips,claude development,code efficiency,reuse workflows,best practices,word documents,document creation,document editing,document reading,productivity boost,efficiency improvement,claude code skills,claude code tutorials,claude code training,claude code development,claude code efficiency"
  },
  {
    "url": "https://www.instagram.com/codewithbrij/reel/DWTp1puCvPH/",
    "reel_id": "DWTp1puCvPH",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"10 years with Python.\n\nI've watched this language quietly become the default across almost every technical field.\n\nNot because it's the fastest.\nNot because of syntax debates.\nBecause it meets people where they are — and the ecosystem is unmatched.\n\nThink about what a single AI project touches today:\n\n📊 Data: NumPy, Pandas, Polars\n🤖 ML: Scikit-learn, XGBoost, LightGBM\n🧠 Deep Learning: PyTorch, TensorFlow, JAX\n📈 Tracking: MLflow, Weights & Biases\n🎨 Visualization: Matplotlib, Plotly, Altair\n🚀 Serving: FastAPI, BentoML, Gradio, Streamlit\n⚙️ MLOps: Airflow, Prefect, Kubeflow, Dagster\n🔧 Features: Featuretools, tsfresh\n✅ Validation: Evidently AI, Deepchecks\n🔐 Security: Presidio, PySyft\n\n40+ battle-tested libraries. \n10 categories. \nOne language.\n\nPython didn't win because of hype.\n\nIt won because practitioners chose it — day after day, project after project.\n\nIf you're building in AI today, Python isn't optional.\n\nIt's infrastructure.\n\nWhat Python tool has had the biggest impact on your workflow? \n\nDrop it below 👇\"",
    "og:image": "https://scontent-bos5-1.cdninstagram.com/v/t51.82787-15/658078917_17993920691929301_7102254582460984612_n.jpg?stp=cmp1_dst-jpg_e35_s640x640_tt6&_nc_cat=101&ccb=7-5&_nc_sid=18de74&efg=eyJlZmdfdGFnIjoiQ0xJUFMuYmVzdF9pbWFnZV91cmxnZW4uQzMifQ%3D%3D&_nc_ohc=DZLWYM90QUQQ7kNvwFQYNay&_nc_oc=AdqgwZGBe62Ef8FQzOm1zIKTw_0tLEB_zmGz2vZcmNuVCIrf4Y_DHv8MNZGyrquaB5A&_nc_zt=23&_nc_ht=scontent-bos5-1.cdninstagram.com&_nc_gid=PwclMjpkQ9zOoUTRVR4Lkg&_nc_ss=7b60f&oh=00_Af7hf6AT0aSlWYWErIr1MJ81YKNFvpHiA4ErqzfjuHW_4w&oe=6A0E257C",
    "og:description": "448 likes, 5 comments - codewithbrij on March 25, 2026: \"10 years with Python.\n\nI've watched this language quietly become the default across almost every technical field.\n\nNot because it's the fastest.\nNot because of syntax debates.\nBecause it meets people where they are — and the ecosystem is unmatched.\n\nThink about what a single AI project touches today:\n\n📊 Data: NumPy, Pandas, Polars\n🤖 ML: Scikit-learn, XGBoost, LightGBM\n🧠 Deep Learning: PyTorch, TensorFlow, JAX\n📈 Tracking: MLflow, Weights & Biases\n🎨 Visualization: Matplotlib, Plotly, Altair\n🚀 Serving: FastAPI, BentoML, Gradio, Streamlit\n⚙️ MLOps: Airflow, Prefect, Kubeflow, Dagster\n🔧 Features: Featuretools, tsfresh\n✅ Validation: Evidently AI, Deepchecks\n🔐 Security: Presidio, PySyft\n\n40+ battle-tested libraries. \n10 categories. \nOne language.\n\nPython didn't win because of hype.\n\nIt won because practitioners chose it — day after day, project after project.\n\nIf you're building in AI today, Python isn't optional.\n\nIt's infrastructure.\n\nWhat Python tool has had the biggest impact on your workflow? \n\nDrop it below 👇\". ",
    "keywords": "python,ai,machine learning,deep learning,data science,automation,mlops,python tools,ai projects,data preparation,deployment"
  },
  {
    "url": "https://www.instagram.com/codewithbrij/reel/DWJpIXaiuo0/",
    "reel_id": "DWJpIXaiuo0",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"Vectorless RAG is quietly changing how we build retrieval systems.And most engineers haven't noticed yet.\n\nFor 3 years we've been told RAG = embeddings + vector database.\n\nChunk your docs. \nEmbed everything. \nStore in Pinecone. \nSimilarity search at query time.\nIt works. \n\nBut the baggage is real →\n\n→ Embedding drift across model versions\n→ Chunk size tuning that never feels right\n→ Semantic search that misses exact keywords\n→ Vector store infrastructure costs\n→ Re-indexing nightmares when your model changesVectorless RAG skips all of that.BM25 for keyword precision.\nKnowledge graphs for relationship reasoning.\n\nSQL retrieval for structured data.\nLong context LLMs that skip indexing entirely.\n\nThe real unlock in 2026?\n\nHybrid systems.One query. Multiple retrievers. Route to the right method at runtime. Best result wins.Stop defaulting to vector search because the tutorial said so.\n\nStart asking → what does my data actually need?\n\nSave this and send it to an engineer who's still embedding everything 🔥.\n.\n.#RAG #AI #MachineLearning #LLM #VectorDatabase #AIEngineering #GenerativeAI #ArtificialIntelligence #TechContent #DataEngineering #NLP #BuildInPublic #AIArchitecture #DeepLearning #MLOps\"",
    "og:image": "https://scontent-bos5-1.cdninstagram.com/v/t51.82787-15/654623525_17993312321929301_7182291872572962241_n.jpg?stp=cmp1_dst-jpg_e35_s640x640_tt6&_nc_cat=109&ccb=7-5&_nc_sid=18de74&efg=eyJlZmdfdGFnIjoiQ0xJUFMuYmVzdF9pbWFnZV91cmxnZW4uQzMifQ%3D%3D&_nc_ohc=gP1CfvweuU0Q7kNvwEXk9uE&_nc_oc=AdrSch4EC7B-hwxhRadA-y8mcBh-uKQftsW12SMU8zu22hxkS5uug-APgwV-GX4e9Rk&_nc_zt=23&_nc_ht=scontent-bos5-1.cdninstagram.com&_nc_gid=kxKJsQ4XziDwRILphLUeuw&_nc_ss=7b60f&oh=00_Af4zQs9T_wbjn7ERwbRDyB--Eeq3QA176wxmC5qRgGeOcQ&oe=6A0E0F78",
    "og:description": "666 likes, 8 comments - codewithbrij on March 21, 2026: \"Vectorless RAG is quietly changing how we build retrieval systems.And most engineers haven't noticed yet.\n\nFor 3 years we've been told RAG = embeddings + vector database.\n\nChunk your docs. \nEmbed everything. \nStore in Pinecone. \nSimilarity search at query time.\nIt works. \n\nBut the baggage is real →\n\n→ Embedding drift across model versions\n→ Chunk size tuning that never feels right\n→ Semantic search that misses exact keywords\n→ Vector store infrastructure costs\n→ Re-indexing nightmares when your model changesVectorless RAG skips all of that.BM25 for keyword precision.\nKnowledge graphs for relationship reasoning.\n\nSQL retrieval for structured data.\nLong context LLMs that skip indexing entirely.\n\nThe real unlock in 2026?\n\nHybrid systems.One query. Multiple retrievers. Route to the right method at runtime. Best result wins.Stop defaulting to vector search because the tutorial said so.\n\nStart asking → what does my data actually need?\n\nSave this and send it to an engineer who's still embedding everything 🔥.\n.\n.#RAG #AI #MachineLearning #LLM #VectorDatabase #AIEngineering #GenerativeAI #ArtificialIntelligence #TechContent #DataEngineering #NLP #BuildInPublic #AIArchitecture #DeepLearning #MLOps\". ",
    "keywords": "vectorless rag,rag,ai,machine learning,nlp,data engineering,ai architecture,generative ai,artificial intelligence,search systems,semantic search,bm25,knowledge graphs,sql retrieval,hybrid systems"
  },
  {
    "url": "https://www.instagram.com/codewithbrij/reel/DUXP8RrCsdE/",
    "reel_id": "DUXP8RrCsdE",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"The Great Escape \n\nSometimes, the most productive thing you can do is step away from the blueprints and the code to reconnect with the original architect: Nature.\n\nThere’s something about the California coastline that puts everything into perspective. Standing on the edge of the Pacific, between the rugged cliffs and the endless horizon, you realize that while we spend our lives building the future, we have to make sure we’re actually present to enjoy it.\n\nFrom the quiet trails of Big Sur to the iconic arch of Bixby Bridge, this trip was exactly the \"system reboot\" I needed. No meetings, no deadlines—just the rhythm of the waves and the golden glow of a West Coast sunset.\"",
    "og:image": "https://scontent-bos5-1.cdninstagram.com/v/t51.82787-15/626242743_17987951189929301_1172193593267090129_n.jpg?stp=cmp1_dst-jpg_e35_s640x640_tt6&_nc_cat=108&ccb=7-5&_nc_sid=18de74&efg=eyJlZmdfdGFnIjoiQ0xJUFMuYmVzdF9pbWFnZV91cmxnZW4uQzMifQ%3D%3D&_nc_ohc=5TK7zxbKuWgQ7kNvwG4FX3H&_nc_oc=Adr2RDBLMAvoheEnEXFKNfmz4fKL3lquT3vGwkEukmdYJvLFKYy4iQgsIUDtXHDB90Y&_nc_zt=23&_nc_ht=scontent-bos5-1.cdninstagram.com&_nc_gid=n3TVKQNLErT1GagFphKHag&_nc_ss=7b60f&oh=00_Af4JPumCYgaAU3IfEovA_TJ8lR5HXQ4Ucw8QyFm0SDjp0Q&oe=6A0E2ED0",
    "og:description": "30 likes, 4 comments - codewithbrij on February 4, 2026: \"The Great Escape \n\nSometimes, the most productive thing you can do is step away from the blueprints and the code to reconnect with the original architect: Nature.\n\nThere’s something about the California coastline that puts everything into perspective. Standing on the edge of the Pacific, between the rugged cliffs and the endless horizon, you realize that while we spend our lives building the future, we have to make sure we’re actually present to enjoy it.\n\nFrom the quiet trails of Big Sur to the iconic arch of Bixby Bridge, this trip was exactly the \"system reboot\" I needed. No meetings, no deadlines—just the rhythm of the waves and the golden glow of a West Coast sunset.\". ",
    "keywords": "california coastline,nature escape,system reboot,find your flow,self-discovery,recharge,relaxation,california travel,coastal living,wellness retreat,nature therapy,mindfulness,ocean views,hiking trails,relaxing getaway,calm escape,west coast adventures,usa travel,nature lovers,adventure travel,coastal towns,big sur,bixby bridge"
  },
  {
    "url": "https://www.instagram.com/codewithbrij/reel/DMvvECoTYCS/",
    "reel_id": "DMvvECoTYCS",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"LLM ≠ Generative AI ≠ AI Agents ≠ Agentic AI\n\nWe need to stop grouping them together. \n\nEach serves a different purpose, operates at a different level of complexity, and solves a different class of problems.\n\nHere’s the breakdown:\n\n🔹 LLM\n Predicts tokens based on patterns in data.\n No memory. No intent. No task execution. Just input → output.\n\n🔹 Generative AI\n Builds on LLMs to create text, code, images, etc.\n It understands latent space and can generate novel content—but it still waits for instructions.\n\n🔹 AI Agents\n Execute predefined tasks.\n They detect intent, call tools or APIs, and handle responses. They’re modular and functional—but not autonomous.\n\n🔹 Agentic AI\n Operates with goals, plans, context, and memory.\n It reasons, adapts, calls sub-agents, monitors progress, and decides what to do next—without human instruction.\n\nThis isn’t just a progression of features.\n\n It’s a shift in system design—from prediction to orchestration, from commands to autonomy.\n\nIf you’re building with AI, clarity on where your system fits in this stack determines everything: architecture, tooling, risk, and value.\"",
    "og:image": "https://scontent-bos5-1.cdninstagram.com/v/t51.71878-15/526792231_788357433854949_1652333977821059720_n.jpg?stp=cmp1_dst-jpg_e35_s640x640_tt6&_nc_cat=107&ccb=7-5&_nc_sid=18de74&efg=eyJlZmdfdGFnIjoiQ0xJUFMuYmVzdF9pbWFnZV91cmxnZW4uQzMifQ%3D%3D&_nc_ohc=xjeyZ3Vl-LoQ7kNvwEYFJSP&_nc_oc=Ado3h_9OqJpZbd_tK2gHdWDl0YVn1dNSLvwusSd_z2L9uL0yoVoPfjRo5pwaog5YO4M&_nc_zt=23&_nc_ht=scontent-bos5-1.cdninstagram.com&_nc_gid=getey0TG4bCbXbXt2ZaOwg&_nc_ss=7b60f&oh=00_Af7ZyMZqi30W2mD5mZevEHTRKg7PB8CBoroPLhlSXEk_ag&oe=6A0E2038",
    "og:description": "2,610 likes, 14 comments - codewithbrij on July 30, 2025: \"LLM ≠ Generative AI ≠ AI Agents ≠ Agentic AI\n\nWe need to stop grouping them together. \n\nEach serves a different purpose, operates at a different level of complexity, and solves a different class of problems.\n\nHere’s the breakdown:\n\n🔹 LLM\n Predicts tokens based on patterns in data.\n No memory. No intent. No task execution. Just input → output.\n\n🔹 Generative AI\n Builds on LLMs to create text, code, images, etc.\n It understands latent space and can generate novel content—but it still waits for instructions.\n\n🔹 AI Agents\n Execute predefined tasks.\n They detect intent, call tools or APIs, and handle responses. They’re modular and functional—but not autonomous.\n\n🔹 Agentic AI\n Operates with goals, plans, context, and memory.\n It reasons, adapts, calls sub-agents, monitors progress, and decides what to do next—without human instruction.\n\nThis isn’t just a progression of features.\n\n It’s a shift in system design—from prediction to orchestration, from commands to autonomy.\n\nIf you’re building with AI, clarity on where your system fits in this stack determines everything: architecture, tooling, risk, and value.\". "
  },
  {
    "url": "https://www.instagram.com/codewithbrij/reel/DLiTStHTn94/",
    "reel_id": "DLiTStHTn94",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"✅ 8 Types of RAG Architecture !\n.\nDon’t forget to save this post for later and follow @codewithbrij for more such information.\n.\nHashtags (ignore)\n#computerscience\n#programmers #html5\n#css3 #javascriptdeveloper\n#webdevelopers #webdev\n#ccna #datastructure\n#softwaredevelopment\n#linux #python3\n#pythondeveloper #fullstackdeveloper #datascience #machinelearningalgorithms #fullstackdev #javadeveloper #sql #docker\"",
    "og:image": "https://scontent-bos5-1.cdninstagram.com/v/t51.75761-15/515004480_17964107492929301_6777911637578669676_n.jpg?stp=cmp1_dst-jpg_e35_s640x640_tt6&_nc_cat=103&ccb=7-5&_nc_sid=18de74&efg=eyJlZmdfdGFnIjoiQ0xJUFMuYmVzdF9pbWFnZV91cmxnZW4uQzMifQ%3D%3D&_nc_ohc=FN4JqEEVcxsQ7kNvwGg5D0A&_nc_oc=Ado8fAyHoOtRzw3RyTpcUs8qqwuv4CyoPtHKYUBfJOhueGcT_7Ku6vK6kqWc433KSd0&_nc_zt=23&_nc_ht=scontent-bos5-1.cdninstagram.com&_nc_gid=nV8tl6Xc4DM5kT2vao0IVA&_nc_ss=7b60f&oh=00_Af5z7QwxWUksF5bEK3zAy4IQbaHSLqgG9t0xlorVIzO_Vg&oe=6A0E3408",
    "og:description": "229 likes, 0 comments - codewithbrij on June 30, 2025: \"✅ 8 Types of RAG Architecture !\n.\nDon’t forget to save this post for later and follow @codewithbrij for more such information.\n.\nHashtags (ignore)\n#computerscience\n#programmers #html5\n#css3 #javascriptdeveloper\n#webdevelopers #webdev\n#ccna #datastructure\n#softwaredevelopment\n#linux #python3\n#pythondeveloper #fullstackdeveloper #datascience #machinelearningalgorithms #fullstackdev #javadeveloper #sql #docker\". "
  },
  {
    "url": "https://www.instagram.com/codewithbrij/reel/DKP9jSCTnSo/",
    "reel_id": "DKP9jSCTnSo",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"Different types of RAG Compared !\n.\nDon’t forget to save this post for later and follow @codewithbrij for more such information.\n.\nHashtags (ignore)\n#computerscience\n#programmers #html5\n#css3 #javascriptdeveloper\n#webdevelopers #webdev\n#ccna #datastructure\n#softwaredevelopment\n#linux #python3\n#pythondeveloper #fullstackdeveloper #datascience #machinelearningalgorithms #fullstackdev #javadeveloper #sql #docker\"",
    "og:image": "https://scontent-bos5-1.cdninstagram.com/v/t51.75761-15/502681493_17960566619929301_6096165527649802971_n.jpg?stp=cmp1_dst-jpg_e35_s640x640_tt6&_nc_cat=105&ccb=7-5&_nc_sid=18de74&efg=eyJlZmdfdGFnIjoiQ0xJUFMuYmVzdF9pbWFnZV91cmxnZW4uQzMifQ%3D%3D&_nc_ohc=HqQlHTYnl-oQ7kNvwFnP9NJ&_nc_oc=Adr7brNwT28-TojxRELP_KJ6lHmvsO9psi86lxRrgZ0RfAcXRBEUMf8R_Um8wqjaNE0&_nc_zt=23&_nc_ht=scontent-bos5-1.cdninstagram.com&_nc_gid=0iTCrKnRjo6STvixuthMGg&_nc_ss=7b60f&oh=00_Af56fNao5wNqZUiy0mEVMj-QNZ3aAQUoqFBtiLdm47oZgw&oe=6A0E2B69",
    "og:description": "334 likes, 4 comments - codewithbrij on May 29, 2025: \"Different types of RAG Compared !\n.\nDon’t forget to save this post for later and follow @codewithbrij for more such information.\n.\nHashtags (ignore)\n#computerscience\n#programmers #html5\n#css3 #javascriptdeveloper\n#webdevelopers #webdev\n#ccna #datastructure\n#softwaredevelopment\n#linux #python3\n#pythondeveloper #fullstackdeveloper #datascience #machinelearningalgorithms #fullstackdev #javadeveloper #sql #docker\". "
  },
  {
    "url": "https://www.instagram.com/codewithbrij/reel/DJkD0HazqVf/",
    "reel_id": "DJkD0HazqVf",
    "http": 200,
    "twitter:title": "Brij Kishore Pandey (@codewithbrij) • Instagram reel",
    "og:title": "Brij Kishore Pandey on Instagram: \"✅ Patterns In Multi-Agent System !\n.\nDon’t forget to save this post for later and follow @codewithbrij for more such information.\n.\nHashtags (ignore)\n#computerscience\n#programmers #html5\n#css3 #javascriptdeveloper\n#webdevelopers #webdev\n#ccna #datastructure\n#softwaredevelopment\n#linux #python3\n#pythondeveloper #fullstackdeveloper #datascience #machinelearningalgorithms #fullstackdev #javadeveloper #sql #docker\"",
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    "og:title": "Brij Kishore Pandey on Instagram: \"✅ Agentic AI Stack !\n.\nDon’t forget to save this post for later and follow @codewithbrij for more such information.\n.\nHashtags (ignore)\n#computerscience\n#programmers #html5\n#css3 #javascriptdeveloper\n#webdevelopers #webdev\n#ccna #datastructure\n#softwaredevelopment\n#linux #python3\n#pythondeveloper #fullstackdeveloper #datascience #machinelearningalgorithms #fullstackdev #javadeveloper #sql #docker\"",
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