Тёмный

GraphRAG Free: Use Without Open AI API Key 

Neural Hacks with Vasanth
Подписаться 7 тыс.
Просмотров 2,6 тыс.
50% 1

🌟 In this video, we'll delve into the world of Graph RAG, demonstrating how to implement it for free without using OpenAI API keys, utilizing Groq and LM Studio. You'll learn how to convert chunks of data into structured entities and relationships, improving the performance of your language model responses. This comprehensive tutorial will guide you through each step, ensuring you can set up and run GraphRAG locally on your computer. 🖥️✨
📚 Topics Covered:
🔹 Introduction to GraphRAG and its advantages
🔹 Setting up Groq inference API and LM Studio
🔹 Integrating both tools for effective Graph RAG implementation
🔹 Running models without OpenAI API
🔍 Key Features include:
✅ Entity Extraction
✅ Hierarchy Extraction
✅ Graph Embedding
✅ Community Summarization
✅ Topic Detection
🔧 Setup Steps:
1️⃣ Install the Graph RAG package
2️⃣ Install LM Studio
3️⃣ Configure your Groq API keys and settings
4️⃣ Initialize your project
5️⃣ Upload and process data
6️⃣ Run queries to extract high-quality answers
📽️ Don't miss out! Click the link below to watch and transform your AI projects with Graph RAG.
Join this channel to get access to perks:
/ @neuralhackswithvasanth
Important Links:
Github Repo: github.com/Vas...
For further discussions please join the following telegram group
Telegram Group Link: t.me/nhv4949
You can also connect with me in the following socials
Gmail: vasanth51430@gmail.com
LinkedIn: / vasanthengineer4949
Other Playlist Links:
AI Realtime Projects using LLMs - • AI Realtime Projects u...
NLP Advanced Roadmap - • NLP Advanced Roadmap
LLMs Related - • LLMs Related
NLP Research Papers - • NLP Research Papers
Mistral Research to Real World Applications - • Mistral Research To Re...
NLP Projects - • NLP Projects
Langchain Projects - • Langchain Projects
ML Bootcamp - • ML Bootcamp

Опубликовано:

 

6 сен 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 14   
@lesptitsoiseaux
@lesptitsoiseaux 2 месяца назад
Vasanth, you are one talented kid! Thank you, honestly, thank you very much for this tutorial. I hope you do more like these. I work for a company you probably know and COST is the biggest problem to solve with AI, especially global searches. Imagine having to do a recommendation engine off a million video transcripts... How would you do that?
@bradmiles358
@bradmiles358 2 месяца назад
Would love to see csv imports vs txt. Looks like it might give better reasoning by leveraging the structure. Eg temporal reasoning etc.. source_column: "author" # the column containing the source/author of the data text_column: "message" # the column containing the text of the data timestamp_column: "date(yyyyMMddHHmmss)" # optional, the column containing the timestamp of the
@mikew2883
@mikew2883 2 месяца назад
Nice tutorial! 👍
@NeuralHackswithVasanth
@NeuralHackswithVasanth 2 месяца назад
Thank you
@rockypunk91
@rockypunk91 Месяц назад
If you index different documents at different point of time. We end up with multiple artifacts in the output folder. How should one do a search over all outputs. Like a production level application. How can we use this i flask?
@Jeganbaskaran
@Jeganbaskaran 2 месяца назад
Is there any provision to connect to neo4j to visually represent the relation between the documents? Others are trying to build knowledge graph on top of the RAG as this tool is already creating nodes/edges when it perform the RAG loading. Any thoughts??? if yes, can you help us.
@johnlaw3276
@johnlaw3276 Месяц назад
may I make sure the embedding model is running on local but not groq? if so, is it possible to run embedding model also using groq?
@takshitmathur2761
@takshitmathur2761 2 месяца назад
hey dude, can this be done using gemini 1.5 pro? I'll be glad if you can help with that
@genai-guru
@genai-guru 2 месяца назад
Please provide code ?
@narasimhasaladi7
@narasimhasaladi7 2 месяца назад
Same tutorials like mervin praison 🤔
@NeuralHackswithVasanth
@NeuralHackswithVasanth 2 месяца назад
I saw too but I think that was with Ollama and I did with Groq and I am uploading late because in our channel as a standard time videos are uploaded at 7pm
@bradmiles358
@bradmiles358 2 месяца назад
Both very useful!
@narasimhasaladi7
@narasimhasaladi7 2 месяца назад
@@NeuralHackswithVasanth no worries always gained knowledge from u and him tq
Далее
This AI AGENT can FEEDBACK to itself
18:23
Просмотров 644
when you have plan B 😂
00:11
Просмотров 15 млн
Graph RAG: Improving RAG with Knowledge Graphs
15:58
Просмотров 56 тыс.
Easy GraphRAG with Neo4j Visualisation Locally
8:54
Просмотров 12 тыс.
ML Was Hard Until I Learned These 5 Secrets!
13:11
Просмотров 289 тыс.
Deploy LLMs Locally On CPU With LM Studio
7:15
7 Free AI Productivity Tools I Use Every Day
15:37
Просмотров 313 тыс.
GraphRAG: LLM-Derived Knowledge Graphs for RAG
15:40
Просмотров 109 тыс.
Build Anything with Llama 3 Agents, Here’s How
12:23
Просмотров 140 тыс.