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Streamline Data Queries with LangChain

Ranjan Relan

Ranjan Relan

This course will teach you LangChain query essentials, optimizing performance for swift data retrieval, advanced techniques like nested queries, joins, and troubleshooting strategies.

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This course will teach you LangChain query essentials, optimizing performance for swift data retrieval, advanced techniques like nested queries, joins, and troubleshooting strategies.

LangChain is a popular framework which has recently seen rapid adoption for building generative AI applications, especially for digital transformation and data-driven projects. It allows business users to interact with and retrieve data in natural language without the need for writing SQL queries. In this course, Streamline Data Queries with LangChain, you’ll gain the ability to query data using LangChain without writing any SQL. First, you’ll explore the fundamentals of LangChain queries. Next, you’ll discover advanced query techniques like query optimization, indexing, caching, joins, and aggregations. Finally, you’ll learn how to troubleshoot common query issues. When you’re finished with this course, you’ll have the skills and knowledge of LangChain needed to streamline your data queries.

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What's inside

Syllabus

Course Overview

Understanding LangChain Queries

Enabling Advanced LangChain Queries and Troubleshooting

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Offers practical and actionable advice on leveraging LangChain for data querying

Taught by industry experts, Ranjan Relan, who are known for their contributions to LangChain

Provides a solid foundation in LangChain query fundamentals

Suitable for individuals with a working knowledge of data querying and natural language processing

Covers advanced query techniques like query optimization, indexing, caching, joins, and aggregations

May require prior experience with data modeling or computer science concepts

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Activities

Coming soon We're preparing activities for Streamline Data Queries with LangChain. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Streamline Data Queries with LangChain will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts build the foundation for making data-driven business decisions. They are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. LangChain is a powerful tool that can help Data Analysts streamline their data queries and improve their efficiency.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use scientific methods to extract knowledge from data. They develop and implement statistical and machine learning models to solve business problems. LangChain can help Data Scientists quickly and easily access and analyze large datasets.

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Business Analyst

Business Analysts help businesses identify and solve problems by analyzing data and making recommendations. LangChain can help Business Analysts gather and interpret data more efficiently, leading to better decision-making.

See salaries and explore the career path for Business Analyst

Database Administrator

Database Administrators are responsible for managing and maintaining databases. They ensure that databases are running smoothly and that data is secure. LangChain can help Database Administrators optimize database performance and troubleshoot issues.

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Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models. LangChain can help Machine Learning Engineers access and analyze data more efficiently, leading to better model performance.

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Data Engineer

Data Engineers design and build data pipelines. They are responsible for ensuring that data is clean, consistent, and accessible. LangChain can help Data Engineers automate data processing tasks and improve data quality.

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Software Engineer

Software Engineers design, develop, and maintain software applications. LangChain is a valuable tool for building data-driven applications and can help Software Engineers improve their productivity.

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Product Manager

Product Managers are responsible for defining and developing new products. LangChain can help Product Managers gather and analyze customer feedback, leading to better product decisions.

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Marketing Analyst

Marketing Analysts help businesses understand their customers and develop marketing campaigns. LangChain can help Marketing Analysts collect and analyze data to measure the effectiveness of marketing campaigns.

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Financial Analyst

Financial Analysts help businesses make investment decisions. LangChain can help Financial Analysts analyze financial data and make recommendations.

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Operations Analyst

Operations Analysts help businesses improve their efficiency and productivity. LangChain can help Operations Analysts collect and analyze data to identify areas for improvement.

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Consultant

Consultants help businesses solve problems and improve their performance. LangChain can help Consultants gather and analyze data to develop recommendations.

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Statistician

Statisticians collect and analyze data to draw conclusions. LangChain can help Statisticians automate data processing tasks and improve data quality.

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Researcher

Researchers conduct scientific research to advance knowledge. LangChain can help Researchers gather and analyze data to support their research.

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Actuary

Actuaries use mathematical and statistical methods to assess risk. LangChain can help Actuaries gather and analyze data to develop risk models.

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Reading list

We've selected seven 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 Streamline Data Queries with LangChain.

Cover image

Cover image

Introduction to Natural Language Processing

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Introduces the fundamental concepts of natural language processing, including how to represent text, build models of language, and evaluate natural language processing.

Introduction to Natural Language Processing...

Introduction to Natural Language Processing...

Cover image

Cover image

Speech and Language Processing. An Introduction to...

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Classic in the field of speech and language processing, providing a comprehensive overview of the field.

Speech and Language Processing An Introduction to...

Cover image

Cover image

Machine Learning Q and AI

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Provides a practical introduction to machine learning techniques for natural language processing.

Machine Learning Q and AI: 30 Essential Questions...

Machine Learning Q and AI: 30 Essential Questions...

Cover image

Cover image

Natural Language Processing with Python

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Provides a practical introduction to natural language processing using the Python programming language.

Natural Language Processing with Python: Analyzing...

Natural Language Processing with Python: Analyzing...

Cover image

Cover image

Text Mining with R

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Provides a comprehensive introduction to text mining using the R programming language.

Text Mining with R

Text Mining with R

Cover image

Cover image

Natural Language Processing with Python

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Provides a practical introduction to the Natural Language Toolkit (NLTK) for natural language processing.

Natural Language Processing with Python: Analyzing...

(中文) Python Natural Language Processing(Chinese Edition)

Natural Language Processing with Python: Analyzing...

Cover image

Cover image

TensorFlow in Action

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Provides a practical introduction to natural language processing using the TensorFlow framework.

TensorFlow in Action

TensorFlow in Action

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Course image

Time

35 hours

Level

Intermediate

Via

Pluralsight

Instructor

Ranjan Relan

Language

English

Good to know

Offers practical and actionable advice on leveraging LangChain for data querying

Taught by industry experts, Ranjan Relan, who are known for their contributions to LangChain

Provides a solid foundation in LangChain query fundamentals

Suitable for individuals with a working knowledge of data querying and natural language processing

Covers advanced query techniques like query optimization, indexing, caching, joins, and aggregations

May require prior experience with data modeling or computer science concepts

Share and help others discover this course

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