Published onAugust 26, 2026Building a RAG Agent for Legal Documents: V1airaglocal-aiollamalangchainembeddingsvector-databasevector-searchsimilarity-searchlegal-techpythondockerchromagemmagemma-3-12bnomicnomic-embed-text-v1A local-first RAG system that uses open-source LLMs, embeddings, and vector search to answer questions across legal documents with grounded source citations.