LangChain Chat with Your Data from Coursera

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.

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

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

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in LangChain Chat with Your Data with these activities:

Read Introduction to Information Retrieval by Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze

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Establish a solid footing by reviewing this seminal work in the field of information retrieval.

View Introduction to Information Retrieval on Amazon

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Familiarize yourself with the vocabulary and concepts.
Critically evaluate the different IR models.
Work on exercises found at the end of each chapter.

Explore the LangChain Hub for Pre-Trained Models and Tools

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Enhance your learning by leveraging pre-trained models and resources from the LangChain ecosystem.

Browse courses on Pre-Trained Models

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Browse the LangChain Hub for available models.
Select and download a model or tool relevant to your task.
Follow tutorials and documentation to integrate the model or tool.

Join Study Groups and Engage in Collaborative Learning

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Connect with peers, exchange knowledge, and reinforce concepts through group discussions.

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Join online forums or discussion groups related to the course topic.
Participate in live study sessions with classmates.
Collaborate on projects or assignments.

Five other activities

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Design a Data Model for a Chatbot Knowledge Base

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Learn to organize and manage data effectively for chatbot knowledge bases.

Browse courses on Data Model

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Identify the types of data required.
Determine the relationships between different data entities.
Design a schema to represent the data.
Implement the data model in a database.

Build a Document Vector Store Using Open-Source Tools

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Gain practical experience by learning the fundamentals of building a vector store.

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Choose open-source tools like FAISS or Milvus.
Collect relevant text or multimedia documents.
Extract features and convert them into vectors.
Store the vectors in the database.
Write queries to search and retrieve relevant vectors.

Coding Challenges: Implement RAG for NLI and Question Answering

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Sharpen your coding skills and gain a deeper understanding of RAG.

Browse courses on RAG

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Solve coding challenges on platforms like LeetCode or HackerRank.
Implement RAG algorithms from scratch.
Build projects that use RAG for NLI or question answering.

Develop a Chatbot Prototype Based on a Specific Domain

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Deepen your understanding of chatbot development by working on a real-world project.

Browse courses on Chatbot

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Identify a specific domain or industry.
Collect relevant data and train a language model.
Design and prototype the chatbot interface.
Test the chatbot with real-world scenarios.

Contribute to Open-Source Projects Related to Chatbots or Language Models

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Expand your knowledge and gain real-world experience by contributing to open-source projects.

Browse courses on Open-Source

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Identify open-source projects focused on chatbots or language models.
Read the project documentation and understand its goals.
Contribute code, documentation, or bug fixes.

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 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.

See salaries and explore the career path for AI 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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