Chatbot to Query Enterprise Documents using Large Language Model (LLM) | by Milan’s Outlook – https://www.milanoutlook.com/ | Techno Leeway | Medium\\n===============\\n \\n\\n[Open in app](https://rsci.app.link/?%24canonical_url=https%3A%2F%2Fmedium.com%2Fp%2Fb0bde0a7e901&%7Efeature=LoOpenInAppButton&%7Echannel=ShowPostUnderCollection&source=—top_nav_layout_nav———————————-)\\n\\nSign up\\n\\n[Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fmedium.com%2Ftechno-leeway%2Fchatbot-to-query-enterprise-documents-using-large-language-model-llm-b0bde0a7e901&source=post_page—top_nav_layout_nav———————–global_nav———–)\\n\\n[](https://medium.com/?source=—top_nav_layout_nav———————————-)\\n\\n[Write](https://medium.com/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Fnew-story&source=—top_nav_layout_nav———————–new_post_topnav———–)\\n\\n[](https://medium.com/search?source=—top_nav_layout_nav———————————-)\\n\\nSign up\\n\\n[Sign in](https://medium.com/m/signin?operation=login&redirect=https%3A%2F%2Fmedium.com%2Ftechno-leeway%2Fchatbot-to-query-enterprise-documents-using-large-language-model-llm-b0bde0a7e901&source=post_page—top_nav_layout_nav———————–global_nav———–)\\n\\n![Image 1](https://api.44vj.com/2025/01/04/ef0d30c2f9a79f908898642ca971ef90.png)\\n\\nMember-only story\\n\\nChatbot to Query Enterprise Documents using Large Language Model (LLM)\\n======================================================================\\n\\n[![Image 2: Milan’s Outlook – https://www.milanoutlook.com/](https://api.44vj.com/2025/01/04/7ada5fead5e015ac6913df619e5db975.jpeg)](https://medium.com/@itsmybestview?source=post_page—byline–b0bde0a7e901——————————–)\\n\\n[![Image 3: Techno Leeway](https://api.44vj.com/2025/01/04/b993fc393e7c43593e729bf722aa14a5.jpeg)](https://medium.com/techno-leeway?source=post_page—byline–b0bde0a7e901——————————–)\\n\\n[Milan’s Outlook – https://www.milanoutlook.com/](https://medium.com/@itsmybestview?source=post_page—byline–b0bde0a7e901——————————–)\\n\\n·[Follow](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fsubscribe%2Fuser%2F19a4a9188dfd&operation=register&redirect=https%3A%2F%2Fmedium.com%2Ftechno-leeway%2Fchatbot-to-query-enterprise-documents-using-large-language-model-llm-b0bde0a7e901&user=Milan%27s+Outlook+-+https%3A%2F%2Fwww.milanoutlook.com%2F&userId=19a4a9188dfd&source=post_page-19a4a9188dfd–byline–b0bde0a7e901———————post_header———–)\\n\\nPublished in\\n\\n[Techno Leeway](https://medium.com/techno-leeway?source=post_page—byline–b0bde0a7e901——————————–)\\n\\n·\\n\\n4 min read\\n\\n·\\n\\nOct 23, 2023\\n\\n[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fvote%2Ftechno-leeway%2Fb0bde0a7e901&operation=register&redirect=https%3A%2F%2Fmedium.com%2Ftechno-leeway%2Fchatbot-to-query-enterprise-documents-using-large-language-model-llm-b0bde0a7e901&user=Milan%27s+Outlook+-+https%3A%2F%2Fwww.milanoutlook.com%2F&userId=19a4a9188dfd&source=—header_actions–b0bde0a7e901———————clap_footer———–)\\n\\n12\\n\\n[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fbookmark%2Fp%2Fb0bde0a7e901&operation=register&redirect=https%3A%2F%2Fmedium.com%2Ftechno-leeway%2Fchatbot-to-query-enterprise-documents-using-large-language-model-llm-b0bde0a7e901&source=—header_actions–b0bde0a7e901———————bookmark_footer———–)\\n\\n[Listen](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2Fplans%3Fdimension%3Dpost_audio_button%26postId%3Db0bde0a7e901&operation=register&redirect=https%3A%2F%2Fmedium.com%2Ftechno-leeway%2Fchatbot-to-query-enterprise-documents-using-large-language-model-llm-b0bde0a7e901&source=—header_actions–b0bde0a7e901———————post_audio_button———–)\\n\\nShare\\n\\n**The attached image shows how to build a large language model (LLM)-based chatbot to query an enterprise knowledge base.**\\n\\n![Image 4](https://api.44vj.com/2025/01/04/0a9a1d2d1092ca0db2a7e30f6fa3d7bc.png)\\n\\nEnterprise Document Repository\\n==============================\\n\\nAn enterprise document repository is a system for storing, organizing, and managing electronic documents. It is typically used by large organizations to store a wide variety of documents, such as contracts, financial records, customer data, and product specifications. Your internal knowledge base documents in a format suitable for querying.\\n\\n**Example:** Microsoft SharePoint, Google Workspace, Box, Dropbox Business, IBM FileNet, DocuWare\\n\\nEmbeddings via Embedding Model\\n==============================\\n\\nEmbeddings are a key component of large language models (LLMs). They are used to represent words and phrases in a way that computers can process — as vectors, or N-dimensional arrays, of numbers. These numerical vectors capture the meaning of words by representing different characteristics of a word with numbers in an array.\\n\\nIn this step, Embed the text chunks using an embedding model. 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Dhore,Growth-Driven Enterprise Strategist & Transformation Leader | Pioneering Leader in Cloud, Generative AI, ML,and Emerging Technologies\\n\\nFollow\\n\\nNo responses yet\\n—————-\\n\\n[](https://policy.medium.com/medium-rules-30e5502c4eb4?source=post_page—post_responses–b0bde0a7e901——————————–)\\n\\n[What are your thoughts?](https://medium.com/m/signin?operation=register&redirect=https%3A%2F%2Fmedium.com%2Ftechno-leeway%2Fchatbot-to-query-enterprise-documents-using-large-language-model-llm-b0bde0a7e901&source=—post_responses–b0bde0a7e901———————respond_sidebar———–)\\n\\nCancel\\n\\nRespond\\n\\nRespond\\n\\nAlso publish to my profile\\n\\nMore from Milan’s Outlook – https://www.milanoutlook.com/ and Techno Leeway\\n—————————————————————————\\n\\n![Image 9: Generative AI Design Patterns using LLM.](https://api.44vj.com/2025/01/04/c4c7d973eaa69ca05107a5324a79f9b9.png)\\n\\n[![Image 10: Milan’s Outlook – 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Leeway](https://medium.com/techno-leeway?source=post_page—author_recirc–b0bde0a7e901—-1———————1519a614_ef45_45f0_ad0b_6c7aa12394fd——-)\\n\\nby\\n\\n[Milan’s Outlook – https://www.milanoutlook.com/](https://medium.com/@itsmybestview?source=post_page—author_recirc–b0bde0a7e901—-1———————1519a614_ef45_45f0_ad0b_6c7aa12394fd——-)\\n\\n[Benefits of Onion Architecture in Domain-Driven Design —————————————————— ### In the ever-evolving world of software development, the need for robust, maintainable, and scalable software systems has never been…](https://medium.com/techno-leeway/use-of-onion-architecture-in-domain-driven-design-cf12069fb4a5?source=post_page—author_recirc–b0bde0a7e901—-1———————1519a614_ef45_45f0_ad0b_6c7aa12394fd——-)\\n\\nNov 20, 2023\\n\\n[](https://medium.com/techno-leeway/use-of-onion-architecture-in-domain-driven-design-cf12069fb4a5?source=post_page—author_recirc–b0bde0a7e901—-1———————1519a614_ef45_45f0_ad0b_6c7aa12394fd——-)\\n\\n[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fbookmark%2Fp%2Fcf12069fb4a5&operation=register&redirect=https%3A%2F%2Fmedium.com%2Ftechno-leeway%2Fuse-of-onion-architecture-in-domain-driven-design-cf12069fb4a5&source=—author_recirc–b0bde0a7e901—-1—————–bookmark_preview—-1519a614_ef45_45f0_ad0b_6c7aa12394fd——-)\\n\\n![Image 13: Is Google’s Gemini AI new ChatGPT in Generative AI?](https://api.44vj.com/2025/01/04/ab61fc867574a65b9decf072b3144ade.png)\\n\\n[![Image 14: Techno Leeway](https://api.44vj.com/2025/01/04/2d6e11c516675d9f073d66aa59328e4e.jpeg)](https://medium.com/techno-leeway?source=post_page—author_recirc–b0bde0a7e901—-2———————1519a614_ef45_45f0_ad0b_6c7aa12394fd——-)\\n\\nIn\\n\\n[Techno Leeway](https://medium.com/techno-leeway?source=post_page—author_recirc–b0bde0a7e901—-2———————1519a614_ef45_45f0_ad0b_6c7aa12394fd——-)\\n\\nby\\n\\n[Milan’s Outlook – https://www.milanoutlook.com/](https://medium.com/@itsmybestview?source=post_page—author_recirc–b0bde0a7e901—-2———————1519a614_ef45_45f0_ad0b_6c7aa12394fd——-)\\n\\n[Is Google’s Gemini AI new ChatGPT in Generative AI? ————————————————— ### Hold on tight, because we’re about to jump into the thrilling world of artificial intelligence! 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### Effectively tailor LLMs with domain-specific knowledge and ontology to better identify defective rail components and recommend consistent…](https://medium.com/ai-advances/railway-ontology-inspired-fine-tuning-and-evaluation-of-llms-using-mlflow-for-more-effective-8068acdfc715?source=post_page—read_next_recirc–b0bde0a7e901—-0———————7117cc7e_79b2_4d04_97fb_481a54bde152——-)\\n\\n5d ago\\n\\n[340 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ago\\n\\n[92](https://medium.com/itnext/building-an-llm-router-using-openai-embeddings-4d0e680afd44?source=post_page—read_next_recirc–b0bde0a7e901—-1———————7117cc7e_79b2_4d04_97fb_481a54bde152——-)\\n\\n[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fbookmark%2Fp%2F4d0e680afd44&operation=register&redirect=https%3A%2F%2Fitnext.io%2Fbuilding-an-llm-router-using-openai-embeddings-4d0e680afd44&source=—read_next_recirc–b0bde0a7e901—-1—————–bookmark_preview—-7117cc7e_79b2_4d04_97fb_481a54bde152——-)\\n\\nLists\\n—–\\n\\n[![Image 21](https://api.44vj.com/2025/01/04/ee63aeda5eafdecb4ec38f83f9faf45f.jpg) ![Image 22](https://api.44vj.com/2025/01/04/a56096a1b04a94a961f84079476d7df6.png) ![Image 23](https://api.44vj.com/2025/01/04/5a79f9dfc76d512dfe3b339d06570ea3.png) Natural Language Processing ————————— 1882 stories·1518 saves](https://medium.com/@AMGAS14/list/natural-language-processing-0a856388a93a?source=post_page—read_next_recirc–b0bde0a7e901——————————–)\\n\\n[![Image 24](https://api.44vj.com/2025/01/04/9f7429d87a826cd0ecbb256636e37e4e.jpg) ![Image 25](https://api.44vj.com/2025/01/04/0e449580e35e96743004c7638efddd7b.png) ![Image 26](https://api.44vj.com/2025/01/04/0cfb1da3acc88793e0246442f7e27e0f.jpeg) Predictive Modeling w/ Python —————————– 20 stories·1751 saves](https://medium.com/@ben.putney/list/predictive-modeling-w-python-e3668ea008e1?source=post_page—read_next_recirc–b0bde0a7e901——————————–)\\n\\n[![Image 27: Image by vectorjuice on FreePik](https://api.44vj.com/2025/01/04/fafd5486498e99c94973bb0128d66204.jpg) ![Image 28](https://api.44vj.com/2025/01/04/5fb689fdddbb17e25552382e53aded76.png) ![Image 29](https://api.44vj.com/2025/01/04/064d5ef7a9b269ea6d77046d7cdca635.png) The New Chatbots: ChatGPT, Bard, and Beyond ——————————————- 12 stories·534 saves](https://medium.com/@MediumStaff/list/the-new-chatbots-chatgpt-bard-and-beyond-5969c7449b7f?source=post_page—read_next_recirc–b0bde0a7e901——————————–)\\n\\n[![Image 30: Principal Component Analysis for ML](https://api.44vj.com/2025/01/04/cda39b882f07757672c0dfa22dd063b5.png) ![Image 31: Time Series Analysis](https://api.44vj.com/2025/01/04/5360fce456781456c51e896dff88107e.png) ![Image 32: deep learning cheatsheet for beginner](https://api.44vj.com/2025/01/04/3851b74325108a2df08ea75c984f2a88.png) Practical Guides to Machine Learning ———————————— 10 stories·2126 saves](https://destingong.medium.com/list/practical-guides-to-machine-learning-a877c2a39884?source=post_page—read_next_recirc–b0bde0a7e901——————————–)\\n\\n![Image 33: Building a Chatbot for Microsoft Teams Using OpenAI API and Microsoft Teams Conversation Bot](https://api.44vj.com/2025/01/04/62e59722a92290ce5a77bf9a87f60a04.jpg)\\n\\n[![Image 34: Chris Yan](https://api.44vj.com/2025/01/04/de2d0b77db93072506e425120a573c16.jpg)](https://medium.com/@chrisyandata?source=post_page—read_next_recirc–b0bde0a7e901—-0———————7117cc7e_79b2_4d04_97fb_481a54bde152——-)\\n\\n[Chris 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Which one should you pick?](https://medium.com/towards-data-science/rags-with-query-routing-5552e4e41c54?source=post_page—read_next_recirc–b0bde0a7e901—-3———————7117cc7e_79b2_4d04_97fb_481a54bde152——-)\\n\\nAug 16, 2024\\n\\n[530 2](https://medium.com/towards-data-science/rags-with-query-routing-5552e4e41c54?source=post_page—read_next_recirc–b0bde0a7e901—-3———————7117cc7e_79b2_4d04_97fb_481a54bde152——-)\\n\\n[](https://medium.com/m/signin?actionUrl=https%3A%2F%2Fmedium.com%2F_%2Fbookmark%2Fp%2F5552e4e41c54&operation=register&redirect=https%3A%2F%2Ftowardsdatascience.com%2Frags-with-query-routing-5552e4e41c54&source=—read_next_recirc–b0bde0a7e901—-3—————–bookmark_preview—-7117cc7e_79b2_4d04_97fb_481a54bde152——-)\\n\\n[See more recommendations](https://medium.com/?source=post_page—read_next_recirc–b0bde0a7e901——————————–)\\n\\n[Help](https://help.medium.com/hc/en-us?source=post_page—–b0bde0a7e901——————————–)\\n\\n[Status](https://medium.statuspage.io/?source=post_page—–b0bde0a7e901——————————–)\\n\\n[About](https://medium.com/about?autoplay=1&source=post_page—–b0bde0a7e901——————————–)\\n\\n[Careers](https://medium.com/jobs-at-medium/work-at-medium-959d1a85284e?source=post_page—–b0bde0a7e901——————————–)\\n\\n[Press](https://medium.com/techno-leeway/pressinquiries@medium.com?source=post_page—–b0bde0a7e901——————————–)\\n\\n[Blog](https://blog.medium.com/?source=post_page—–b0bde0a7e901——————————–)\\n\\n[Privacy](https://policy.medium.com/medium-privacy-policy-f03bf92035c9?source=post_page—–b0bde0a7e901——————————–)\\n\\n[Terms](https://policy.medium.com/medium-terms-of-service-9db0094a1e0f?source=post_page—–b0bde0a7e901——————————–)\\n\\n[Text to speech](https://speechify.com/medium?source=post_page—–b0bde0a7e901——————————–)\\n\\n[Teams](https://medium.com/business?source=post_page—–b0bde0a7e901——————————–)
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