Gespeichert in:
| Weitere beteiligte Personen: | |
|---|---|
| Format: | Elektronisch Video |
| Sprache: | Englisch |
| Veröffentlicht: |
[Birmingham, United Kingdom]
Packt Publishing
[2025]
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781806022472/?ar |
| Zusammenfassung: | Create an intelligent AI agent that converses seamlessly with your own datasets using LangGraph and OpenAI's GPT-4. This notebook guides you through developing AI applications capable of understanding, querying, and interacting directly with custom data. You'll explore key steps, including tool calls, state management, dataset exploration, and building conversational workflows. LangGraph's powerful tools enable your AI agent to dynamically interpret data and execute specific actions based on user requests. By the end, you'll have built an interactive application that transforms raw data into actionable insights through conversational interaction, demonstrating the power and versatility of AI agents. |
| Beschreibung: | "DataLab" : DataLab is a learning solution designed to empower individuals and teams to explore data, build skills, and solve real-world problems. With interactive content, hands-on exercises, and a focus on practical application, DataLab helps learners turn data curiosity into confident capability-no matter where they start. - Online resource; title from title details screen (O'Reilly, viewed April 9, 2025) |
| Umfang: | 1 Online-Ressource (1 video file (1 hr., 14 min.)) sound, color. |
| ISBN: | 9781806022472 1806022478 |
Internformat
MARC
| LEADER | 00000ngm a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-114779880 | ||
| 003 | DE-627-1 | ||
| 005 | 20250502131819.0 | ||
| 006 | m o | | | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 250502s2025 xx ||| |o o ||eng c | ||
| 020 | |a 9781806022472 |c electronic video |9 978-1-80602-247-2 | ||
| 020 | |a 1806022478 |c electronic video |9 1-80602-247-8 | ||
| 035 | |a (DE-627-1)114779880 | ||
| 035 | |a (DE-599)KEP114779880 | ||
| 035 | |a (ORHE)9781806022472 | ||
| 035 | |a (DE-627-1)114779880 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 004.6 |2 23/eng/20250409 | |
| 245 | 0 | 0 | |a Building AI agents with LangGraph and OpenAI |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Birmingham, United Kingdom] |b Packt Publishing |c [2025] | |
| 300 | |a 1 Online-Ressource (1 video file (1 hr., 14 min.)) |b sound, color. | ||
| 336 | |a zweidimensionales bewegtes Bild |b tdi |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a "DataLab" : DataLab is a learning solution designed to empower individuals and teams to explore data, build skills, and solve real-world problems. With interactive content, hands-on exercises, and a focus on practical application, DataLab helps learners turn data curiosity into confident capability-no matter where they start. - Online resource; title from title details screen (O'Reilly, viewed April 9, 2025) | ||
| 520 | |a Create an intelligent AI agent that converses seamlessly with your own datasets using LangGraph and OpenAI's GPT-4. This notebook guides you through developing AI applications capable of understanding, querying, and interacting directly with custom data. You'll explore key steps, including tool calls, state management, dataset exploration, and building conversational workflows. LangGraph's powerful tools enable your AI agent to dynamically interpret data and execute specific actions based on user requests. By the end, you'll have built an interactive application that transforms raw data into actionable insights through conversational interaction, demonstrating the power and versatility of AI agents. | ||
| 650 | 0 | |a Artificial intelligence | |
| 650 | 0 | |a Computer programming | |
| 650 | 0 | |a Chatbots | |
| 650 | 0 | |a Application program interfaces (Computer software) | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 4 | |a Intelligence artificielle | |
| 650 | 4 | |a Programmation (Informatique) | |
| 650 | 4 | |a Interfaces de programmation d'applications | |
| 650 | 4 | |a Python (Langage de programmation) | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a computer programming | |
| 650 | 4 | |a APIs (interfaces) | |
| 655 | 4 | |a Instructional films | |
| 655 | 4 | |a Nonfiction films | |
| 655 | 4 | |a Internet videos | |
| 655 | 4 | |a Films de formation | |
| 655 | 4 | |a Films autres que de fiction | |
| 655 | 4 | |a Vidéos sur Internet | |
| 700 | 1 | |a Vankrunkelsven, Vincent |e MitwirkendeR |4 ctb | |
| 710 | 2 | |a Packt Publishing, |e Verlag |4 pbl | |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781806022472/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 935 | |c vide | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-114779880 |
|---|---|
| _version_ | 1835903237387976704 |
| adam_text | |
| any_adam_object | |
| author2 | Vankrunkelsven, Vincent |
| author2_role | ctb |
| author2_variant | v v vv |
| author_facet | Vankrunkelsven, Vincent |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)114779880 (DE-599)KEP114779880 (ORHE)9781806022472 |
| dewey-full | 004.6 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.6 |
| dewey-search | 004.6 |
| dewey-sort | 14.6 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | [First edition]. |
| format | Electronic Video |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03172ngm a22006012c 4500</leader><controlfield tag="001">ZDB-30-ORH-114779880</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20250502131819.0</controlfield><controlfield tag="006">m o | | </controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">250502s2025 xx ||| |o o ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781806022472</subfield><subfield code="c">electronic video</subfield><subfield code="9">978-1-80602-247-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1806022478</subfield><subfield code="c">electronic video</subfield><subfield code="9">1-80602-247-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)114779880</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP114779880</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781806022472</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)114779880</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">004.6</subfield><subfield code="2">23/eng/20250409</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Building AI agents with LangGraph and OpenAI</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Birmingham, United Kingdom]</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">[2025]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (1 video file (1 hr., 14 min.))</subfield><subfield code="b">sound, color.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">zweidimensionales bewegtes Bild</subfield><subfield code="b">tdi</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">"DataLab" : DataLab is a learning solution designed to empower individuals and teams to explore data, build skills, and solve real-world problems. With interactive content, hands-on exercises, and a focus on practical application, DataLab helps learners turn data curiosity into confident capability-no matter where they start. - Online resource; title from title details screen (O'Reilly, viewed April 9, 2025)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Create an intelligent AI agent that converses seamlessly with your own datasets using LangGraph and OpenAI's GPT-4. This notebook guides you through developing AI applications capable of understanding, querying, and interacting directly with custom data. You'll explore key steps, including tool calls, state management, dataset exploration, and building conversational workflows. LangGraph's powerful tools enable your AI agent to dynamically interpret data and execute specific actions based on user requests. By the end, you'll have built an interactive application that transforms raw data into actionable insights through conversational interaction, demonstrating the power and versatility of AI agents.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Computer programming</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Chatbots</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application program interfaces (Computer software)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Programmation (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Interfaces de programmation d'applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">computer programming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">APIs (interfaces)</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Instructional films</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Nonfiction films</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Internet videos</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Films de formation</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Films autres que de fiction</subfield></datafield><datafield tag="655" ind1=" " ind2="4"><subfield code="a">Vidéos sur Internet</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Vankrunkelsven, Vincent</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</subfield></datafield><datafield tag="710" ind1="2" ind2=" "><subfield code="a">Packt Publishing,</subfield><subfield code="e">Verlag</subfield><subfield code="4">pbl</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781806022472/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="935" ind1=" " ind2=" "><subfield code="c">vide</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| genre | Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| genre_facet | Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| id | ZDB-30-ORH-114779880 |
| illustrated | Not Illustrated |
| indexdate | 2025-06-25T12:16:04Z |
| institution | BVB |
| isbn | 9781806022472 1806022478 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (1 video file (1 hr., 14 min.)) sound, color. |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2025 |
| publishDateSearch | 2025 |
| publishDateSort | 2025 |
| publisher | Packt Publishing |
| record_format | marc |
| spelling | Building AI agents with LangGraph and OpenAI [First edition]. [Birmingham, United Kingdom] Packt Publishing [2025] 1 Online-Ressource (1 video file (1 hr., 14 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier "DataLab" : DataLab is a learning solution designed to empower individuals and teams to explore data, build skills, and solve real-world problems. With interactive content, hands-on exercises, and a focus on practical application, DataLab helps learners turn data curiosity into confident capability-no matter where they start. - Online resource; title from title details screen (O'Reilly, viewed April 9, 2025) Create an intelligent AI agent that converses seamlessly with your own datasets using LangGraph and OpenAI's GPT-4. This notebook guides you through developing AI applications capable of understanding, querying, and interacting directly with custom data. You'll explore key steps, including tool calls, state management, dataset exploration, and building conversational workflows. LangGraph's powerful tools enable your AI agent to dynamically interpret data and execute specific actions based on user requests. By the end, you'll have built an interactive application that transforms raw data into actionable insights through conversational interaction, demonstrating the power and versatility of AI agents. Artificial intelligence Computer programming Chatbots Application program interfaces (Computer software) Python (Computer program language) Intelligence artificielle Programmation (Informatique) Interfaces de programmation d'applications Python (Langage de programmation) artificial intelligence computer programming APIs (interfaces) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Vankrunkelsven, Vincent MitwirkendeR ctb Packt Publishing, Verlag pbl |
| spellingShingle | Building AI agents with LangGraph and OpenAI Artificial intelligence Computer programming Chatbots Application program interfaces (Computer software) Python (Computer program language) Intelligence artificielle Programmation (Informatique) Interfaces de programmation d'applications Python (Langage de programmation) artificial intelligence computer programming APIs (interfaces) |
| title | Building AI agents with LangGraph and OpenAI |
| title_auth | Building AI agents with LangGraph and OpenAI |
| title_exact_search | Building AI agents with LangGraph and OpenAI |
| title_full | Building AI agents with LangGraph and OpenAI |
| title_fullStr | Building AI agents with LangGraph and OpenAI |
| title_full_unstemmed | Building AI agents with LangGraph and OpenAI |
| title_short | Building AI agents with LangGraph and OpenAI |
| title_sort | building ai agents with langgraph and openai |
| topic | Artificial intelligence Computer programming Chatbots Application program interfaces (Computer software) Python (Computer program language) Intelligence artificielle Programmation (Informatique) Interfaces de programmation d'applications Python (Langage de programmation) artificial intelligence computer programming APIs (interfaces) |
| topic_facet | Artificial intelligence Computer programming Chatbots Application program interfaces (Computer software) Python (Computer program language) Intelligence artificielle Programmation (Informatique) Interfaces de programmation d'applications Python (Langage de programmation) artificial intelligence computer programming APIs (interfaces) Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
| work_keys_str_mv | AT vankrunkelsvenvincent buildingaiagentswithlanggraphandopenai AT packtpublishing buildingaiagentswithlanggraphandopenai |