Design a workflow to generate context-aware embeddings for legal document indexing in LLamaIndex

Question

With the help of code can i know Design a workflow to generate context-aware embeddings for legal document indexing in LLamaIndex.

Answer 1

You can generate context-aware embeddings for legal document indexing in LlamaIndex by integrating a domain-specific embedding model with metadata-aware chunking and indexing.

Here is the code snippet below:

In the above code we are using the following key points:

• Custom metadata is embedded within Document objects to retain legal context.

• legal-bert is used for generating semantically rich, domain-specific embeddings.

• SentenceSplitter ensures intelligent chunking for better context preservation.

• Nodes are generated from parsed documents before being indexed.

Hence, this workflow enables accurate and context-rich legal document retrieval using LlamaIndex and specialized embedding models.