LangGraph简介 使用LangGraph 实现 代理节点“Programmer” 代理节点“Tester” 代理节点“Executor” 代理节点“Debugger” 决策边缘“Decision_To_End” 图状态和定义图节点 结论 参考 人工智能(AI)正在迅速改变我们的生活和工作方式,软件工程领域正在发生深刻的变化。软件开发在塑造我们的未来方面发挥着关键作用,特别是...
构建知识图谱并存入Neo4j数据库 # Ref: https://python.langchain.com/v0.1/docs/use_cases/graph/constructing/ # 直接用LLM构建就好 # 3、图RAG + LLM生成答案 # Ref: https://python.langchain.com/v0.1/docs/integrations/graphs/neo4j_cypher/
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want. ...
场景:创建一个Python函数计算斐波那契数列 # 输入指令:生成一个计算斐波那契数列的Python函数 def fibonacci(n): if n <= 0: return [] elif n == 1: return [0] fib_seq = [0, 1] while len(fib_seq) < n: fib_seq.append(fib_seq[-1] + fib_seq[-2]) return fib_seq[:n] # 测试用例 ...
IPEX-LLMis an LLM acceleration library for IntelGPU(e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max),NPUand CPU1. Note IPEX-LLMprovides seamless integration withllama.cpp,Ollama,HuggingFace transformers,LangChain,LlamaIndex,vLLM,Text-Generation-WebUI,DeepSpeed-AutoTP,FastCha...
Hands-on Time Series Anomaly Detection using Autoencoders, with Python Data Science Here’s how to use Autoencoders to detect signals with anomalies in a few lines of… Piero Paialunga August 21, 2024 12 min read Feature engineering, structuring unstructured data, and lead scoring...
scanning reports to triage risks and retrieving information from systems where conventional software integration has not been implemented.In April 2023 Siemens announced a collaboration with Microsoft to launch its new Teamcenter app within Microsoft Teams, helping shop floor workers parse and translate nat...
When used together, Alpa and Ray offer a scalable and efficient solution to train LLMs across large GPU clusters. With this integration, the benchmarks show the following benefits: Alpa on Ray can scale beyond 1,000 GPUs for LLMs of 175 billion-parameter scale. ...
LangGraph 是一个使用LLMs用于构建具有状态的、多角色应用程序的库。受到 Pregel 和 Apache Beam 的启发,LangGraph 允许您使用常规的 Python 函数(或JS)协调和检查点多个链(或角色)在循环计算步骤中。公共接口的灵感来自于 NetworkX。 主要用途是为您的LLM应用程序添加循环和持久性。如果您只需要快速的有向无环图...
Visual question answering: Allowing users to ask questions about images, like “What is this graph showing?” or “What’s the significance of this chart?” This multimodal ability opens up new doors for AI to solve complex problems that involve both visual and textual data. ...