RAG with LlamaParse, Qdrant and Groq | Step By Step
In this video, I will show you how to create a effective RAG with LlamaParse, Qdrant and Groq. I will explain what LlamaParse is and briefly walk you through the recent blog post they provided. LlamaParse is a state-of-the-art parser designed to specifically unlock RAG over complex documents. I will explain the following in this video.
How to parse the document using LlamaParse
Create embeddings from that parsed document and store it in Qdrant Cloud
Use models from Groq for super fast Inference
Also show you how to use OllamaEmbeddings and models from Ollama
Some extra tips to make RAG better.
👉🏼 Links:
LlamaParse and LlamaCloud blog: https://www.llamaindex.ai/blog/launch...
LlamaCloud: https://cloud.llamaindex.ai/
Ollama: https://ollama.ai/
💻 GitHub repo for code: https://github.com/sudarshan-koirala/...
NOTE: Readme file in Github has additional links.
------------------------------------------------------------------------------------------
⏰ Timestamps
00:00 Introduction
01:15 LlamaParse blogpost walkthrough
04:16 Getting Started ( GitHub code )
06:13 Llamaparse
10:00 Qdrant Cloud
11:28 FastEmbedEmbeddings
12:44 Models from Groq
17:16 Asking Questions
24:57 Make RAG better ( tips )
26:23 Conclusion
------------------------------------------------------------------------------------------
☕ Buy me a Coffee: https://ko-fi.com/datasciencebasics
✌️Patreon: / datasciencebasics
------------------------------------------------------------------------------------------
🔗 🎥 Other videos you might find helpful:
🔥 Databricks playlist: • 30 Days Of DataBricks
⛓️ Langflow: • ⛓️ langflow | UI For 🦜️🔗 LangChain
⛓️ Flowise: • Flowise | UI For 🦜️🔗 LangChain
🔥Chainlit playlist: • Chainlit
🦜️🔗 LangChain playlist: • LangChain
🦙 LlamaIndex Playlist: • LlamaIndex
------------------------------------------------------------------------------------------
🤝 Connect with me:
📺 Youtube: https://www.youtube.com/@datascienceb...
👔 LinkedIn: / sudarshan-koirala
🐦 Twitter: / mesudarshan
🔉Medium: / sudarshan-koirala
💼 Consulting: https://topmate.io/sudarshan_koirala
#llamaindex #llamaparser #llamacloud #qdrant #groq #datasciencebasics