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Openai Vector Store Vs Pinecone. This section explores embeddings, memory and retrieval techn
This section explores embeddings, memory and retrieval techniques for context-aware systems. The browser also works with OpenAI's agent mode At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Here’s your introduction to Pinecone, FAISS, and Why 90% of Candidates Fail RAG (Retrieval-Augmented Generation) Interviews You know how to call the OpenAI API. Sep 1, 2023 · 1 GB of RAM can store around 300,000 768-dim vectors (Sentence Transformer) or 150,000 1536-dim vectors (OpenAI). 🧠 Architecture (RAG Pipeline) Google Drive → n8n → OpenAI Embeddings → Pinecone Vector DB → AI Agent → Telegram Bot 🔧 Tech Stack n8n – Workflow automation Google Drive API – File ingestion Oct 21, 2024 · Vector Search and OpenAI vs. Pinecone enables developers to build scalable, real-time recommendation and search systems based on vector similarity search. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. Like I've asked it to make a fictional story arc about the recent past to compare it to what Gemini did, and it repeatedly goes r/OpenAI Get AppGet the Reddit app Log InLog in to Reddit Expand user menuOpen settings menu Go to OpenAI r/OpenAI• OpenAI GPT-5. Jul 1, 2025 · That’s where vector databases come in. py # Self-correcting & autonomous RAG │ ├── module-7-capstone-projects/ # Real-world projects (3 projects) Contribute to abhishek786216/minirag development by creating an account on GitHub.
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