Pinecone Vector Store Optimization Specialist
$750-1500 USD
Teslim sırasında ödenir
Pinecone Vector Store Optimization Specialist for RAG System
Job Description:
We are seeking a skilled freelancer to optimize our Pinecone vector store for an existing RAG (Retrieval-Augmented Generation) system integrated with GPT-4, Superbase, and LangChain. The system functions like a chatbot, and your role will be to enhance retrieval accuracy, query performance, and metadata management.
Responsibilities:
1. Optimize Pinecone Vector Store:
• Improve index configurations (dimensionality, similarity metrics).
• Implement metadata tagging for refined search results.
2. Enhance RAG Pipeline:
• Tune retrieval workflows between Pinecone and GPT-4 using LangChain.
• Experiment with hybrid search (semantic + keyword-based) for better relevance.
3. Monitor and Debug Performance:
• Analyze query patterns and improve vector indexing.
• Use tools like Atlas or scripts to detect embedding drift and enhance performance.
Skills Required:
• Pinecone expertise (indexing, metadata, query optimization).
• Familiarity with OpenAI APIs and embedding models (text-embedding-ada-002).
• Proficiency in Python (pinecone-client, langchain, openai).
• Experience with RAG pipelines and chatbot integrations.
What We Provide:
• An existing RAG system with Pinecone, GPT-4, and Superbase.
• Clear goals for optimization and ongoing support from our technical team.
How to Apply:
Please include:
• A brief summary of your experience with vector stores or Pinecone.
• Any past projects related to RAG, GPT-4, or similar systems.
• Your approach to improving vector store efficiency and retrieval relevance.
Proje NO: #38924607
Proje hakkında
Bu iş için 116 freelancer ortalamada $1098 teklif veriyor
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As an AI engineer focused on building efficient systems, I've dedicated my career to optimizing complex workflows just like your Pinecone vector store. With in-depth expertise in Pinecone, OpenAI APIs and embedding mod Daha Fazla
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