In particular, you'll be able Jan 7, 2026 · Check out LangChain. LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents. For a full list of supported models in LangChain, see the integrations page. append(ToolMessage(content=observation, tool_call_id=tool_call["id"])) return {"messages . Two main methods are available: Next-Level Automation: Data Agents In LlamaIndex Module 3 Introduction - Retrieval Augmented Generation Agents LangChain Overview: Agents, Tools, and OpenGPT Introduction LlamaIndex RAG-AGENT: Query and Summarize Over Database Crafting AI Assistants via OpenAI and Hugging Face API Smart Shopping Assistant with Deep Lake & LlamaIndex - Introduction Unified reference documentation for LangChain and LangGraph Python packages. Contribute to langchain-ai/langgraph development by creating an account on GitHub. openai import OpenAIEmbeddings embeddings_model = "text-embedding-3-small" Model Context Protocol (MCP) is an open protocol that standardizes how applications provide tools and context to LLMs. Quick Install pip install langchain-openai 🤔 What is this? This package contains the LangChain integrations for OpenAI through their openai SDK. embeddings. Here’s what they really are: 🔹 LangChain = Simple loop Your AI thinks → calls tool → thinks → calls tool Problem? No memory.

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