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Production RAG with Hybrid Search

genaiAdvanced365d access
₹199onwards

Combine dense vector search with BM25 keyword search. Add query rewriting, hypothetical document embedding (HyDE), streaming response, and a full eval suite.

  • Combine dense vector search and BM25 keyword search using Reciprocal Rank Fusion
  • Implement query rewriting to improve retrieval quality for ambiguous queries
  • Apply HyDE (Hypothetical Document Embedding) to boost semantic search precision
  • Build a streaming FastAPI + Streamlit layer on top of a production RAG system
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Fine-tune a Small LLM on Custom Data

genaiAdvanced365d access
₹199onwards

Prepare an instruction-tuning dataset, fine-tune Phi-2 or Mistral 7B using LoRA/QLoRA on free Colab TPUs, and rigorously evaluate the fine-tuned model vs. the base.

  • Curate and format a high-quality instruction-tuning dataset in JSONL format
  • Understand LoRA and QLoRA — how parameter-efficient fine-tuning works
  • Fine-tune a small open-source LLM (Phi-2 or Mistral 7B) on Google Colab for free
  • Evaluate a fine-tuned model rigorously against its base model using an LLM judge
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