Advanced RAG Techniques

Sdílet
Vložit
  • čas přidán 30. 06. 2024
  • If I missed any details let me know :)
    Freelancing Consultation:
    mosleh587084.typeform.com/to/...
    Long-Context Reorder
    The "Long-Context Reorder" documentation on LangChain describes a module that optimizes model performance by reordering document contexts. This tool is crucial for models handling lengthy or multiple documents, ensuring that important information is prioritized. The page details installation, setup, and usage with code examples, emphasizing improved retrieval effectiveness.
    For further details, you can access the full documentation python.langchain.com/docs/mod...
    Chunking
    Optimize your data indexing with customizable chunk sizes and overlaps for better retrieval results. Default settings use a 1024 chunk size and 20 overlap, but adjusting these can refine or broaden your embeddings. Smaller chunks increase precision, capturing detailed nuances, while larger sizes provide a broader overview but may overlook specifics. Enhance your vector index by adjusting the `similarity_top_k` parameter to fetch more relevant data per query, ensuring your system remains efficient and effective.
    Explore more on optimizing data indexing strategies docs.llamaindex.ai/en/stable/...
    Self Querying/ Meta data filtering
    The "Self-querying" module on LangChain allows for dynamic querying capabilities within a VectorStore. It enables the construction of structured queries using a language model, applying these queries to document metadata for precise retrieval. This self-query mechanism enhances semantic searches by incorporating user-specified filters directly into the query process, ensuring more relevant and targeted search results.
    To learn more about the self-querying capabilities, check out the full documentation python.langchain.com/docs/mod...
  • Věda a technologie

Komentáře • 8

  • @user-rx1yt6zf3m
    @user-rx1yt6zf3m Před 16 dny +1

    Exactly what I need to understand the limitation of RAG, thanks!

  • @jasonzhang6534
    @jasonzhang6534 Před měsícem +2

    simple but awesome explanation.

  • @mrrohitjadhav470
    @mrrohitjadhav470 Před 3 měsíci

    Super simple clean awesome video, looking forward to the hands-on tutorial . keep it up

  • @user-yu4tp6gb4t
    @user-yu4tp6gb4t Před měsícem

    what tools do you use to generate the mind map?

  • @abdisalam679
    @abdisalam679 Před 4 měsíci

    how to edit bro?

    • @moslehmahamud
      @moslehmahamud  Před 4 měsíci +1

      editing videos? I use premiere pro but there are some other quick video editing tools