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Law Agent

Building

Legal document analysis with vector database

Application for uploading law PDFs, chunking and embedding content into a vector database, and asking legal questions with retrieval-augmented answers.

Challenges

  • Processing and chunking legal documents effectively
  • Implementing accurate retrieval-augmented generation

Solutions

  • Developed document chunking algorithm for legal texts
  • Built semantic search with similarity scoring

Technologies

Next.jsTypeScriptVector DBEmbeddings

My Role

Developer

Project Info

Type

building

Status

Building

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