Pinecone Vector Store Optimization Specialist

Open Posted 2 days ago Paid on delivery Ends in 4 days
Open Paid on delivery Ends in 4 days

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.

Retrieval-Augemented Generation Database Programming Natural Language Processing Python Database Design

Project ID: #38924607

About the project

115 proposals Open for bidding Remote project Active yesterday

115 freelancers are bidding on average $1096 for this job

LiveExperts

Hi there,I'm biddin on your project "Pinecone Vector Store Optimization Specialist" I have read your project description and i'm an expert in Python and machine learning therefore i can do this project for you perfectl More

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(32 Reviews)
7.2
ZohaibRoy

✅❇️ Hello jse4! I hope you're doing great today! I’ve carefully reviewed your project requirements and noticed that you’re looking for a Pinecone Vector Store Optimization Specialist for your existing RAG system integ More

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(73 Reviews)
7.0
gowrilakshmi2322

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 More

$1125 USD in 7 days
(33 Reviews)
6.5
ahmadayaz

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$1125 USD in 7 days
(7 Reviews)
6.4
OutsourceMan

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$1125 USD in 7 days
(12 Reviews)
5.9
Feriver

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(31 Reviews)
5.4
Isoropisths

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(5 Reviews)
5.3
ashrafsbai6655

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(38 Reviews)
5.6
kazemmojtama

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(6 Reviews)
5.4
abhisaini0188

As an accomplished full-stack developer, I bring a diverse skill set to your project that extends beyond the Back-end development realm. My understanding of Python's applications in optimizing performance and improving More

$1500 USD in 7 days
(6 Reviews)
5.3
snbhanja

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SmailYASSINE

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(7 Reviews)
4.7
djsmoothy

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(1 Review)
4.4
akkiwadhwa1995

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(16 Reviews)
4.4
redstone2409

We specialize in providing innovative development solutions, and we’re excited to help optimize your Pinecone vector store for the existing RAG system integrated with GPT-4, Superbase, and LangChain. Our approach will More

$1500 USD in 7 days
(2 Reviews)
3.6
kursv526

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(2 Reviews)
3.6
Mrenat1

As an experienced Full Stack Developer with a specialization in AI Chatbot Development, I believe my skills and expertise would be an excellent fit for your Pinecone Vector Store Optimization project. My proficiency in More

$1000 USD in 7 days
(2 Reviews)
3.3
leotung1104

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$1200 USD in 10 days
(1 Review)
3.2
maryam951

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$750 USD in 10 days
(3 Reviews)
3.3
vasylt4

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(2 Reviews)
2.8