Indexify A Data Framework For LLMs | Introduction To Indexify
Hello guys, welcome back to another exciting tutorial on data frameworks for Large Language Models (LLMs)! In this video, we'll explore how to build a data extraction pipeline using Indexify. We'll then use the extracted data to create a Retrieval-Augmented Generation (RAG) based application with OpenAI. To demonstrate the versatility of Indexify, we'll also build a Streamlit RAG application using Llama-index and Mistral, showcasing how Indexify can seamlessly integrate with your existing LLM and LLM orchestration stack like Llama-index and LangChain. Let's dive in!
Git repo: https://github.com/Princekrampah/inde...
Indexify docs: https://getindexify.ai/
Streamlit: https://streamlit.io/
OpenAI API key: https://openai.com/
Mistral API key: https://mistral.ai/
LlamaIndex and Mistral: https://docs.llamaindex.ai/en/stable/...
Medium article:
Project Overview:
Data Ingestion Pipeline:
Load articles from Wikipedia
Structured extraction and chunking of documents
Extract embeddings using Sentence Transformers
Store embeddings in Vector DB (LanceDB)
Perform Named Entity Recognition with an LLM
Build a RAG application on top of the extracted data
Interact with the visual UI of the extraction pipeline
What Is Indexify?
Indexify is an open-source data framework featuring a real-time extraction engine and ready-made extraction adapters. It provides reliable out-of-the-box extraction for all types of unstructured data, including documents, presentations, videos, and audio.
Buy me a coffee:
https://www.buymeacoffee.com/princez3
Follow me on social media:
Discord community server: / discord
twitter: / prince_krampah
Channel main page: / codewithprince
Hope you enjoy today's video. Please show your love and support by just liking and subscribing to the channel so we can grow a strong and powerful community. Activate the 🔔 beside the subscribe button to get the notification!📩 If you have any questions or requests feel free to leave them in the comments below.
Thank you for watching and see you in the next video!!
📌 Tags:
#LLM #Indexify #DataExtraction #RAGApplication #OpenAI #Streamlit #LlamaIndex #LangChain #Mistral #AI #MachineLearning #DataPipeline #NLP #NaturalLanguageProcessing #TechTutorial #AIFramework #Embeddings #NamedEntityRecognition #VectorDB
Смотрите видео Indexify A Data Framework For LLMs | Introduction To Indexify онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Code With Prince 01 Январь 1970, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 475 раз и оно понравилось 13 людям.