liaokongVFX/LangChain-Chinese-Getting-Started-Guide
LangChain Chinese Getting Started Guide
This project is a collection of tutorials and guides for building large language model applications using the LangChain framework, written in Chinese. It serves as a learning resource for developing software that integrates language models with memory and chain-based logic.
The resource provides specific walkthroughs for implementing retrieval augmented generation systems using vector stores and document loaders. It includes guides on creating autonomous agents that dynamically select and execute external tools, as well as tutorials for translating plain text queries into executable database commands.
The guides cover a broad range of capabilities, including the construction of custom knowledge bases, the implementation of conversational memory, and the execution of natural language data querying. It also addresses data processing tasks such as loading documents from diverse sources, splitting text for token limits, and extracting structured data from the web.
Features
- LLM Application Frameworks - Serves as a comprehensive guide to building applications powered by large language models using the LangChain framework.
- Retrieval-Augmented Generation - Provides comprehensive tutorials for implementing retrieval augmented generation systems to ground model responses in external data.
- Autonomous Agents - Guides the creation of autonomous agents that integrate memory, tool usage, and decision-making to perform tasks.
- Chaining Pipelines - Sequences multiple language model calls and data processing steps into repeatable execution pipelines.
- RAG Implementations - Implements architectures that retrieve relevant documents from vector stores to augment LLM prompt context.
- RAG Tutorials - Delivers practical educational guides for implementing retrieval-augmented generation systems.
- Tool-Using Agents - Provides guides on creating agents that dynamically select and execute external tools based on user input.
- Natural Language to SQL - Maps natural language prompts to specific relational table definitions to generate executable database queries.
- Knowledge Base Construction - Walks through the full pipeline of parsing documents and generating embeddings for semantic retrieval.
- Local Knowledge Bases - Guides the construction of local systems for parsing and indexing documents for private information retrieval.
- LLM-Based SQL Generation - Translates natural language queries into executable SQL commands using language model schemas.
- Application Development Guides - Provides tutorials for building end-to-end applications that integrate LLMs with memory and logical chains.
- LLM Learning Resources - Offers a curated collection of Chinese-language tutorials and educational materials for learning LLM application development.
- Compositional Transformation Pipelines - Composes complex logic by chaining sequential data transformations and model calls into a single pipeline.
- Development Guides - Provides detailed walkthroughs for creating agents that dynamically select and execute external tools.
- Conversational Memory Systems - Manages and stores historical interaction data to provide context for ongoing AI conversations.
- Conversation Memory Stores - Implements conversational memory by storing and injecting interaction history to preserve context.
- Conversation State Persistence - Supports the persistence of conversation state and history across multiple interactions.
- Text Chunks - Provides methods for splitting documents into smaller segments to remain within token limits.
- Document Loaders - Includes guides on importing data from diverse formats like files and video transcripts.
- Vector Storage - Demonstrates how to use specialized storage engines to persist high-dimensional vectors for semantic search.
- Vector Memory Stores - Uses vector stores to index and retrieve relevant document chunks via semantic similarity search.
- Vector Storage - Converts text into numerical embeddings and stores them in databases for similarity lookups.
- Tutorials and Notebooks - Chinese language getting started guide.
