lvwzhen/law-cn-ai
Law Cn Ai
Dieses Projekt ist ein KI-System für den Rechtsbereich, das einen Sprachmodell-Assistenten bereitstellt, der auf einer Retrieval-Augmented-Generation-Wissensbasis basiert. Es ermöglicht Benutzern, vektorbasierte rechtliche Suchen durchzuführen und fundierte Antworten auf rechtliche Fragen zu erhalten.
Das System unterstützt spezifisch die Abfrage chinesischen Rechtswissens, indem es Markdown-Dokumente in Vektor-Embeddings für die semantische Suche konvertiert. Es nutzt eine Streaming-Webschnittstelle, die inkrementelle KI-Antworten über Server-Sent-Events liefert.
Das breitere Fähigkeitsspektrum umfasst die chunk-basierte Dokumentenverarbeitung, vektorbasierte Wissensindizierung und Ähnlichkeitssuche, um relevante rechtliche Zitate und Gesetze abzurufen.
Features
- Legal Domain Assistants - Provides an AI assistant specifically designed to answer legal queries grounded in a legal knowledge base.
- RAG Context Retrieval - Retrieves relevant document segments from a legal knowledge base to ground language model responses.
- Vector Similarity Search - Uses vector similarity search to calculate the mathematical distance between queries and legal document embeddings.
- Chinese Legal Knowledge Retrieval - Enables semantic search across Chinese law documents and statutes using vector embeddings.
- RAG-Based - Provides a RAG-based system that retrieves legal document segments to generate grounded answers to legal questions.
- Legal Knowledge Bases - Provides a structured knowledge base for organizing and retrieving legal information via vector embeddings.
- Local Knowledge Base Indexers - Converts local markdown legal documents into a searchable database for semantic retrieval.
- RAG Index Builders - Implements a pipeline for chunking and indexing markdown legal documents for retrieval-augmented generation.
- Vector Indexing - Generates and manages vector embeddings for legal documents to facilitate efficient semantic search.
- Streaming AI Interfaces - Ships a web interface that delivers incremental language model responses via server-sent events.
- Streaming Chat Responses - Implements a streaming interface that sends AI-generated text incrementally to the client for real-time responses.
- Context-Window Chunking - Splits markdown legal documents into smaller text segments to fit within the LLM context window.
- Real-Time Text Streaming - Streams AI-generated legal analysis as a continuous text stream for a faster user experience.
- Server-Sent Events - Utilizes server-sent events to push incremental text updates from the server to the client in real time.
- Domain Specific Bots - Assists with legal queries using vector-based knowledge retrieval.
