We can't find the internet
Attempting to reconnect
Something went wrong
Hang in there while we get back on track
£45.29
O'Reilly Langchain for Life Science and Healthcare: Innovation Through LLMs and Generative AI Agents
Price data last checked 24 day(s) ago - will refresh soon
We'll watch every seller, every day. One email when your price arrives.
New to our records — first sighting 24 days ago. We'll learn its rhythm.
24 days of data · current price £45
NEW HERE?
Amazon shows you one price. We show you all of them.
Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.
WHAT'S ON THIS PAGE
when this has been cheap or pricey
where the price is heading next
all-time high & low, recent range
name your number, we'll email you
Price History & Forecast
Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.
Last 1 days · 1 data points (no recent data)
Price Distribution
Price distribution over 1 days • 1 price levels
Price Analysis
Most common price: £45 (1 days, 100.0%)
Price range: £45 - £45
Price levels: 1 different prices over 1 days
Description
Key Features
New Store Stock
Product Specifications
- Brand
- O'Reilly
- Format
- paperback
- ASIN
- 1098162633
- Domain
- Amazon UK
- Release Date
- 01 August 2025
- Listed Since
- 18 December 2024
Barcode
No barcode data available
Similar Products You Might Like
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph
O'Reilly
Hands-On Large Language Models: Language Understanding and Generation
O'Reilly
LangChain for RAG Beginners: Build Your First Powerful AI GPT Agent (Agents, GPTs, and Generative AI for Beginners)
Generative AI with LangChain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph
Packt Publishing
Generative AI Apps with LangChain and Python: A Project-Based Approach to Building Real-World LLM Apps
Apress
Generative AI with Python: The Developer's Guide to Pretrained Llms, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems
Rheinwerk Computing
LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems
Packt Publishing
Generative AI and Large Language Models: Opportunities, Challenges, and Applications: Volume 1: 1214 (Studies in Computational Intelligence, 1214)
Springer
Designing Large Language Model Applications: A Holistic Approach
O'Reilly
Next Generation AI Language Models in Research: Promising Perspectives and Valid Concerns
CRC Press
LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development
Packt Publishing
Applied Generative AI for Beginners: Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs
Apress
AI Agents and Applications: With Langchain, Langgraph and Mcp
Manning
Building Applications with Large Language Models: Techniques, Implementation, and Applications
Apress
Building AI Agents with LLMs, RAG, and Knowledge Graphs: A practical guide to autonomous and modern AI agents
Packt Publishing
Large Language Models: A Deep Dive: Bridging Theory and Practice
Springer
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
O'Reilly
Communicative AI: A Critical Introduction to Large Language Models
Polity
Natural Language Analytics with Generative Large-Language Models: A Practical Approach with Ollama and Open-Source LLMs (SpringerBriefs in Computer Science)
Springer
Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques: 7 (Machine Translation: Technologies and Applications, 7)
Springer
O'Reilly Privacy and Security for Large Language Models Book
O'Reilly
Python, Deep Learning, and LLMs: A Crash Course for Complete Beginners
Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
O'Reilly
GenAI on Google Cloud: Enterprise Generative AI Systems and Agents
O'Reilly