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LangChain Chat with Your Data
Harrison Chase
Harrison Chase
LangChain: Chat With Your Data delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and (2) a guide to building a chatbot that responds to queries based on the content of your documents, rather than the information it has learned in training.
Read more
LangChain: Chat With Your Data delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and (2) a guide to building a chatbot that responds to queries based on the content of your documents, rather than the information it has learned in training.
Read more
LangChain: Chat With Your Data delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and (2) a guide to building a chatbot that responds to queries based on the content of your documents, rather than the information it has learned in training.
You’ll learn about:
1. Document Loading: Learn the fundamentals of data loading and discover over 80 unique loaders LangChain provides to access diverse data sources, including audio and video.
2. Document Splitting: Discover the best practices and considerations for splitting data.
3. Vector stores and embeddings: Dive into the concept of embeddings and explore vector store integrations within LangChain.
4. Retrieval: Grasp advanced techniques for accessing and indexing data in the vector store, enabling you to retrieve the most relevant information beyond semantic queries.
5. Question Answering: Build a one-pass question-answering solution.
6. Chat: Learn how to track and select pertinent information from conversations and data sources, as you build your own chatbot using LangChain.Start building practical applications that allow you to interact with data using LangChain and LLMs.
Register for this course and see more details by visiting:
OpenCourser.com/course/xw4o9q/langchain
What's inside
Syllabus
Project Overview
The course delves into two main topics: (1) Retrieval Augmented Generation (RAG), a common LLM application that retrieves contextual documents from an external dataset, and (2) a guide to building a chatbot that responds to queries based on the content of your documents, rather than the information it has learned in training. You’ll learn about: 1. Document Loading: Learn the fundamentals of data loading and discover over 80 unique loaders LangChain provides to access diverse data sources, including audio and video. 2. Document Splitting: Discover the best practices and considerations for splitting data. 3. Vector stores and embeddings: Dive into the concept of embeddings and explore vector store integrations within LangChain.4. Retrieval: Grasp advanced techniques for accessing and indexing data in the vector store, enabling you to retrieve the most relevant information beyond semantic queries. 5. Question Answering: Build a one-pass question-answering solution. 6. Chat: Learn how to track and select pertinent information from conversations and data sources, as you build your own chatbot using LangChain.Start building practical applications that allow you to interact with data using LangChain and LLMs.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Delves into emerging technology like LLM and retrieval augmented generation (RAG) in the context of data interaction
Focuses on practical application, providing hands-on experience in building chatbots using LangChain
May be suitable for learners with prior exposure to NLP and chatbot development concepts
Instructors have experience in the field, which adds credibility to the course content
Course may require some technical proficiency in data processing and programming
May be less suitable for absolute beginners seeking a comprehensive introduction to NLP and chatbots
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LangChain Chat with Your Data.
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Career center
Learners who complete LangChain Chat with Your Data will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers design, develop, and maintain AI systems, using their knowledge of machine learning, deep learning, and natural language processing. LangChain Chat with Your Data can be a valuable asset to AI Engineers by providing them with hands-on experience in building and deploying AI-powered applications that leverage LLMs for data retrieval and chatbot development.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers apply their expertise in machine learning algorithms, data analysis, and software engineering to build and deploy ML models for various applications. LangChain Chat with Your Data provides Machine Learning Engineers with practical experience in utilizing LLMs to enhance their ML models, particularly in domains such as text-based applications and data retrieval.
NLP Engineer
NLP Engineer
NLP Engineers specialize in developing and deploying NLP systems, leveraging techniques such as text classification, machine translation, and text summarization. LangChain Chat with Your Data may be useful for NLP Engineers, as it provides insights into using LLMs for NLP tasks, including document retrieval, question answering, and chatbot development.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to extract meaningful insights and inform decision-making. LangChain Chat with Your Data can be a valuable tool for Data Analysts, providing them with techniques to efficiently retrieve and utilize data from diverse sources, including unstructured text data, using LLMs.
Data Scientist
Data Scientist
Data Scientists leverage their expertise in data analysis, machine learning, and programming to extract valuable insights from structured and unstructured data, using a variety of techniques such as statistical modeling, data mining, and machine learning algorithms. LangChain Chat with Your Data may be useful for aspiring Data Scientists by helping them develop the skills to utilize LLMs to process and analyze large datasets, extract relevant information, and build data-driven applications.
Knowledge Manager
Knowledge Manager
Knowledge Managers are responsible for creating, organizing, and sharing knowledge within an organization, ensuring that employees have access to the information they need to perform their jobs effectively. LangChain Chat with Your Data may be helpful for Knowledge Managers, providing them with techniques to leverage LLMs for knowledge management, such as document retrieval, question answering, and chatbot development.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure, ensuring that data is available, reliable, and accessible for analysis and decision-making. LangChain Chat with Your Data may be useful for Data Engineers, providing them with techniques to leverage LLMs to enhance data management tasks, such as data integration, data quality control, and data security.
Information Architect
Information Architect
Information Architects design and organize information systems to ensure efficient and effective access to information. LangChain Chat with Your Data may be useful for Information Architects, providing them with techniques to leverage LLMs for data retrieval and organization, enabling the creation of more user-friendly and intuitive information systems.
User Experience Designer
User Experience Designer
User Experience Designers focus on enhancing the user experience of digital products and services, considering factors such as usability, accessibility, and overall user satisfaction. LangChain Chat with Your Data may be helpful for User Experience Designers, providing them with insights into leveraging LLMs to improve the user experience, particularly in areas such as natural language interaction and personalized content delivery.
Content Strategist
Content Strategist
Content Strategists develop and execute content strategies to achieve specific business goals, ensuring that content is relevant, engaging, and aligned with the target audience. LangChain Chat with Your Data may be useful for Content Strategists, providing them with techniques to leverage LLMs to enhance content creation, such as natural language generation, text summarization, and content optimization.
Business Analyst
Business Analyst
Business Analysts bridge the gap between technical and business teams, analyzing business needs and translating them into technical requirements. LangChain Chat with Your Data can empower Business Analysts by providing them with techniques to leverage LLMs to extract insights from data, identify trends, and support data-driven decision-making.
Technical Writer
Technical Writer
Technical Writers create user manuals, technical documentation, and other written materials to explain complex technical concepts and procedures. LangChain Chat with Your Data may be beneficial for Technical Writers, providing them with techniques to leverage LLMs to enhance their writing process, such as natural language generation, text summarization, and content optimization.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems, utilizing their expertise in programming languages, software design principles, and software development methodologies. LangChain Chat with Your Data can be useful for Software Engineers, providing insights into using LLMs to enhance software applications, particularly in areas such as natural language processing and knowledge management.
Project Manager
Project Manager
Project Managers plan, execute, and close projects, ensuring that they are completed on time, within budget, and to the required quality standards. LangChain Chat with Your Data may be helpful for Project Managers, providing them with techniques to leverage LLMs for project management tasks, such as document retrieval, risk assessment, and stakeholder communication.
Information Technology Specialist
Information Technology Specialist
Information Technology Specialists provide technical support and maintenance for computer systems, networks, and software within organizations. LangChain Chat with Your Data may be useful for Information Technology Specialists, as it provides insights into leveraging LLMs to enhance IT support tasks, such as troubleshooting, remote assistance, and knowledge management.
For more career information including salaries, visit:
OpenCourser.com/course/xw4o9q/langchain
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
LangChain Chat with Your Data.
This textbook is an excellent reference for exploring techniques in natural language processing, search engine optimization, and retrieval and ranking of data.
Provides a comprehensive overview of the field of natural language understanding. It covers a wide range of topics, from the history of the field to the latest advances in deep learning.
This textbook practical guide to natural language processing with Python. It covers a wide range of topics, from basic concepts to advanced techniques, and includes numerous code examples.
This textbook great resource for a broad understanding of the information retrieval field. The book provides an extensive overview of the field, from its history and theoretical foundations to various applications.
This short but comprehensive introduction to machine learning provides a solid foundation for beginners who want to explore the field further.
Provides a comprehensive overview of speech and language processing. It covers various aspects of speech and language processing, from acoustics and phonetics to syntax and semantics. It valuable resource for anyone interested in this area.
Provides a comprehensive overview of the statistical foundations of natural language processing. It covers various aspects of statistical natural language processing, from probability and information theory to machine learning and optimization. It valuable resource for anyone interested in this area.
Save
Provides a comprehensive overview of deep learning. It covers various aspects of deep learning, from neural networks and convolutional neural networks to recurrent neural networks and deep reinforcement learning. It valuable resource for anyone interested in this area.
Provides a comprehensive overview of statistical learning. It covers various aspects of statistical learning, from linear regression and logistic regression to support vector machines and random forests. It valuable resource for anyone interested in this area.
Provides a comprehensive overview of pattern recognition and machine learning. It covers various aspects of pattern recognition and machine learning, from supervised learning and unsupervised learning to reinforcement learning and deep learning. It valuable resource for anyone interested in this area.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xw4o9q/langchain
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
DeepLearning.AI
Instructor
Harrison Chase
Language
English
Good to know
Delves into emerging technology like LLM and retrieval augmented generation (RAG) in the context of data interaction
Focuses on practical application, providing hands-on experience in building chatbots using LangChain
May be suitable for learners with prior exposure to NLP and chatbot development concepts
Instructors have experience in the field, which adds credibility to the course content
Course may require some technical proficiency in data processing and programming
May be less suitable for absolute beginners seeking a comprehensive introduction to NLP and chatbots
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