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Info-Search

What is Info-Search?

  • Info Search leverages Retrieval-Augmented Generation (RAG)
  • It integrates LLMs with Retrieval-Augmented Generation (RAG), a powerful technique.
  • RAG enhances the accuracy, factual depth, and context of learning materials.

Methodology

  • Chunking (Semantic chunking)
  • Embedding (gte-v1.5)
  • Vector Database (PostgreSQL, pgVector)
  • Re-rankers (BAAI/bge-reranker-large)
  • LLM (GPT-4, Llama3-8b-instruct)

Screenshot 2024-05-11 000622

Screenshot 2024-05-11 000756

Screenshot 2024-05-11 001655

Screenshot 2024-05-11 010402

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