Tag: langchain

This tutorial demonstrates how to integrate Microsoft GraphRAG with Neo4j, focusing on storing GraphRAG output in Neo4j and implementing local and global retrievers using LangChain and LlamaIndex for advanced knowledge graph-based retrieval.

This tutorial explores the implementation of a JSON-based agent using Ollama and LangChain to interact with a Neo4j graph database, enhancing LLM capabilities with tools and a semantic layer.

Discover how to leverage the full potential of the LangChain ecosystem, from core components to deployment, for building robust AI applications.

This tutorial guides beginners through building an AI agent using LangChain, covering installation, LLM integration, tool setup, and agent execution for file management tasks.