LangChain
Framework for developing applications powered by language models with data retrieval and processing capabilities
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LangChain is an open-source framework for building applications that combine large language models with external data sources, APIs, and tools. It provides modules for document loading, text splitting, embeddings, vector stores, chains, agents, and memory management. Essential for building RAG systems, conversational AI, data analysis tools, and intelligent data processing pipelines. LangChain abstracts the complexity of working with LLMs and makes it easy to create sophisticated data workflows that leverage AI for document understanding, question answering, and automated decision-making.
✅ RAG (Retrieval-Augmented Generation) systems ✅ Question answering over document collections ✅ Automated data analysis and reporting ✅ Conversational interfaces for databases ✅ Document processing and summarization pipelines ✅ AI-powered data quality monitoring ✅ Intelligent data extraction and transformation ✅ Multi-step reasoning over data sources
🤖 LlamaIndex 🔍 Haystack 🧠 Semantic Kernel ⚙️ AutoGen 👥 CrewAI
