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Semantic Search Demo App - Pinecone + LangChain + Voyage AI 

Pinecone
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🚀 Key Features:
- Semantic search on legal documents (but pattern works on any type)
- Pre-loaded with landmark U.S. legal cases
- Voyage AI's voyage-law-2 embeddings model
- Pinecone vector database for fast, accurate results
- Built with Next.js for performance and SEO
🔧 Technologies Used:
- Pinecone
- LangChain
- Voyage AI
- Vercel
- Next.js
👨‍💻 Get started in just 60 seconds:
1. Visit our Sample App page: docs.pinecone....
2. Copy the npx command
3. Run it in your terminal
4. Follow the setup instructions
Whether you're working with legal documents or adapting the app for other domains, this Pinecone Sample App provides the ideal starting point for your semantic search project.
💡 Have ideas for future sample apps? Let us know in the comments!
#SemanticSearch #Pinecone #LangChain #VoyageAI #LegalTech #JavaScript #NextJS

Опубликовано:

 

26 сен 2024

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Комментарии : 4   
@JasonMelanconEsq
@JasonMelanconEsq 2 месяца назад
Providing a Fiverr like platform where we can find developers experienced with Langchain and Pinecone would be amazing!
@abhinavchhabra4947
@abhinavchhabra4947 3 месяца назад
Does pinecone support hybrid search?
@pelangos
@pelangos 3 месяца назад
Could be useful in a CRM application
@zackproser
@zackproser 3 месяца назад
Yep! Also across any kind of document / PDF search - not just legal!
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