100 Best RAG Vector Database Videos

Notes:

This collection of videos offers a comprehensive overview of Retrieval Augmented Generation (RAG) and vector databases, emphasizing Pinecone. It includes tutorials on implementing RAG with tools like LangChain and OpenAI, comparisons of vector databases, and integrations with platforms such as Next.js, AWS, and Azure. Specialized applications in healthcare, customer support, and document processing are explored, alongside advanced topics like hybrid search and semantic chunking. The content also covers the use of large language models (LLMs) like GPT-4 in RAG systems, highlighting the importance of vector databases and embeddings in scaling AI applications from proof-of-concept to production.

Several no-code platforms offer turnkey vector databases for Retrieval-Augmented Generation (RAG) systems. Weaviate provides a scalable vector search engine with integrated machine learning models. Vespa supports real-time, large-scale search and analytics with a no-code interface. Zilliz Cloud offers enterprise-grade vector data management and querying, built on the Milvus open-source project. Qdrant Cloud delivers high-performance vector similarity search, also without coding. These platforms are designed to simplify managing and querying vector data for users without coding expertise.

Resources:

• pinecone.io .. vector database to build knowledgeable ai
• weaviate.io .. open-source vector database that stores both objects and vectors

See also:

100 Best ChatGPT & LangChain Videos

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[186x Aug 2024]

• RAG multiusuario con Next.js Langchain(TS) y Pinecone
• LlamaIndex 23: Using LlamaIndex and Pinecone to build RAG applications | LlamaIndex
• Engineering RAG Applications for the Enterprise with Pinecone
• Scaling RAG and Embedding Computations with Ray and Pinecone
• Generative ai full course gemini pro openai llm langchain pinecone in hindi ai free course short
• Don’t naive RAG do hybrid search instead (Pinecone Weaviate or pgvector + full text search & rerank)
• RAG Brag with Luis Morales, VP of Engineering, Help Scout
• Hybrid Search RAG With Langchain And Pinecone Vector DB
• Simple RAG Chatbot | Pinecone Vector Database | Streamlit
• RAG- Vector Database Chatbot using Flowise and Pinecone | Llama 3 model
• RAG with Mistral AI!
• Easiest Set-up for RAG using Pinecone Assistant | Crazy
• Generating embeddings and RAG using vector DB ai datascience embedding machinelearning nlp
• Intro to RAG for AI (Retrieval Augmented Generation)
• Superfast RAG with Llama 3 and Groq
• Decoding ChatGPT, Transformers, Vector DB, RAG and more, Roy Miara Pinecone
• RAG Brag with Rich DiBona, Co-Founder of descrybe.ai
• Demo: RAG pipeline with LangChain, OpenAI, Pinecone, Next.js and Vercel
• Build a RAG System with LangChain & Pinecone (Tutorial Part 2 – With Memory)
• Build a RAG System with LangChain & Pinecone (Tutorial Part 1)
• RAG Brag with Nick Gomez , Founder, CEO of Inkeep
• RAG Brag with Alexander Danilowicz, Co-Founder at Magic Patterns
• Configure Amazon Bedrock Knowledge Bases with Pinecone Vector Database
• Production Ready RAG in Healthcare with Pinecone and Autoblocks
• How to build chat with your data using Pinecone, LangChain and OpenAI
• Build RAG Pipeline Safeguards with Evaluation and Monitoring
• Understanding Namespaces in Pinecone Serverless shorts ai database
• RAG Brag with Mike Heap and Alex Rainey of My AskAI
• Pinecone Azure OpenAI On Your Data
• Building a RAG Architecture: Local Files and Web Data Extraction – Pinecone, Mongo and ChatGPT
• YouTube transcripts summarisation and RAG chatbot in Javascript chrome extension
• How to build a Chat-with-your-data RAG pipeline – Part 1
• Live RAG Comparison Test: Pinecone vs Mongo vs Postgres vs SingleStore | SingleStore Webinars
• Use RAG with a Pinecone Vector database on the Data Productivity Cloud
• MLOps Now — Building context-augmented LLMs with RAG & Vector DB Mïchael Ma?aröv, Pinecone
• Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-2 rag llm mongodb pinecone
• Comparing RAG Approaches: LangChain/Pinecone, Llamaindex, and GroundX
• Taking RAG apps from POC to Production, Fast
• Advanced RAG Chatbot with Re-Ranking | Groq | Ollama | Cohere | Langchain
• Building Real-Time RAG Pipeline With Mongodb and Pinecone Part-1 rag llm mongodb pinecone
• Semantic Chunking for RAG
• Multitenant RAG and Vector Databases
• RAG For OpenAI Assistant – Simply Explained
• Building a RAG app |AWS Lambdas, Pinecone DBs, and OctoAI Endpoints Part 1
• World’s Most Accurate RAG? LangChain/Pinecone, LlamaIndex or EyeLevel
• End to End RAG Application Using Haystack MistralAI Pinecone & FastAPI rag llm haystack mistral
• Pinecone Workshop: LLM Size Doesn’t Matter — Context Does
• Building a RAG app |AWS Lambdas, Pinecone DBs, and OctoAI Endpoints Part 4
• Building a RAG app |AWS Lambdas, Pinecone DBs, and OctoAI Endpoints Part 2
• Building a RAG app |AWS Lambdas, Pinecone DBs, and OctoAI Endpoints Part 3
• Pinecone + Langchain in NodeJS RAG Querying with OpenAI
• Part 1: PDF upload for RAG Model with LlamaIndex Pinecone.
• Hands-on RAG Tutorial using LlamaIndex, Gemini, and Pinecone Vector DB
• Machine Learning Conversational AI | FlowiseAI | OpenAI | Pinecone | Apify
• Claude 3 Opus RAG Chatbot (Full Walkthrough)
• Retrieval Augmentation Generation (RAG) with Pinecone – Roie Schwaber-Cohen
• Day 41/75 Building Retrieval Augmented Generation [RAG] App + Pinecone Vector DB + Hugging Face LLM
• Q & A on Private documents using RAG – Retrieval Augmented Generation
• Building Production-Grade LLM Apps
• What’s new in Pinecone Serverless + RAG Features
• Generative AI Full Course – Gemini Pro, OpenAI, Llama, Langchain, Pinecone, Vector Databases & More
• RAG Pipeline with Pinecone VectorDB, Cohere re-ranking and OpenAI
• End to End RAG Pipeline Part-1 | RAG Architecture | Ingestion | generation | Reterival rag llm
• No Priors Ep. 52 | With Pinecone CEO Edo Liberty
• [Persian] LangChain, VectorDb, LLM, Pinecone and Github
• Chatting With Your Own Data! Chat, Predict, & Analyze – FlowiseAI Tutorial 6
• Webinar: Fix Hallucinations in RAG Systems with Pinecone and Galileo
• Retrieval Augmented Generation (RAG) with Confluence, Pinecone, and ChatGPT
• RAG makes LLMs better, even on data they have already been trained on. ai ML Pinecone RAG
• New course with Pinecone: Building Applications with Vector Databases
• Building and Deploying Real-World RAG Applications with Ram Sriharsha – 669
• Langchain, pinecone, openai, RAG
• Building RAG applications with Pinecone
• aitechnologyCopy of News Jan17 2024
• Complete Tutorial on Vector Database – Learn ChromaDB, Pinecone & Weaviate | Generative AI
• Pinecone Serverless: 8-Minute Crash Course
• FIRST Look at Pinecone Serverless!
• Build and Deploy a RAG app with Pinecone Serverless
• Introducing Pinecone Serverless
• Streamlining RAG Applications with Canopy
• Haystack AI: Production-ready RAG with Custom Data made easy!
• Streamlining RAG Applications with Pinecone’s OSS Framework: Canopy – Audrey Lorberfeld, Pinecone
• Orchestrating RAG: Retrieval, Canopy, & Pinecone ? | LLMOps
• DAY-9: Mastering Vector Databases with Pinecone for AI & LLM in HINDI | Generative AI Course Hindi
• Build a chat assistant fast using Canopy from Pinecone and Anyscale Endpoints
• DAY-9: Mastering Vector Databases with Pinecone
• Canopy – A RAG Framework
• End To End LLM Langchain Project using Pinecone Vector Database genai
• OpenAI Assistants API w/ Retrieval vs “Custom” RAG: which is better for customer support automation?
• RAG Implementation with LLM, Pinecone and Langchain
• Appian Record RAG search with Pinecone
• New RAG Framework for AI, Canopy from Pinecone.io. Build GenAI and AI apps quickly, use vectors.
• Vertex AI RAG tutorial
• NEW RAG Framework: Canopy
• Supercharge Conversational AI with Pinecone x Haystack
• Build PDF.ai Clone with Flutter, Pinecone, Langchain and ChatGPT – Full Flutter Course
• Next.js 14 Custom Chatbot (OpenAI ChatGPT, Vercel AI SDK, Pinecone, Shadcn UI, TypeScript, Tailwind)
• Pinecone : metadata filtering and namespaces.
• LangChain Multi-Query Retriever for RAG
• Building Data Driven Chat Applications Using Airbyte and Pinecone
• Retrieval-Augmented Generation chatbot, part 1: LangChain, Hugging Face, FAISS, AWS
• LlamaIndex Webinar: Build/Break/Test LLM Apps Showcase (co-hosted with TrueEra, Pinecone)
• What is a vector database? Why are they critical infrastructure for ai applications?
• RAG But Better: Rerankers with Cohere AI
• RAG with Llama-Index: Vector Stores
• Pinecone Rag by Stevie Bloom
• ?LlamaIndex | CHAT With Documents with PINECONE As VectorStore
• High-performance RAG with LlamaIndex
• Document Question Answering with LangChain, Pinecone and GPT-4 ai langchain llm pinecone
• Advanced RAG 03 – Hybrid Search BM25 & Ensembles
• RAG Implementation using Mistral 7B, Haystack, Weaviate, and FastAPI
• Build Retrieval-Augmented Generation (RAG) with Databricks and Pinecone
• Pinecone vs Weaviate: Vector DBs for RAG youtube shorts ai llm youtubeshorts tech gpt4 genai
• Chatbots with RAG: LangChain Full Walkthrough
• How To Deploy Langchain Pinecone Application On AWS EC2
• Build an AI chatbot in 1 minute using Pinecone, LangChain, OpenAI, and Web Transpose.
• Pinecone + LlamaIndex on Retrieval Augmented Generation (RAG) Systems
• Making Retrieval Augmented Generation Better with @jamesbriggs
• How to Make RAG Chatbots FAST
• Chat with Multiple PDFs using Llama 2, Pinecone and LangChain (Free LLMs and Embeddings)
• Harnessing RAG with Open-Source LLMs — @matthew_berman, @jamesbriggs
• GPT+LangChain+Pinecone LLM app Case Study by Tony AI Champ
• Let’s Build a “Chat With PDF” app using Langchain(TS/JS), AI SDK, Pinecone DB, Open AI & Next.js 13
• Retrieval-Augmented Generation (RAG) using LangChain and Pinecone – The RAG Special Episode
• What is Retrieval-Augmented Generation (RAG)?
• Hugging Face LLMs with SageMaker + RAG with Pinecone
• Full-stack AI chatbot with custom data with Next.js, Langchain, Pinecone and OpenAI
• Interact with PDF Content – LLM with PineCone with HuggingFace and LangChain
• Live code review: Pinecone Vercel starter template and Retrieval Augmented Generation (RAG). Part 2
• Create a Medical Chatbot with Llama 2, Pinecone and LangChain (CPU | GPU) (Code Available)
• Live code review: Pinecone Vercel starter template and Retrieval Augmented Generation (RAG).
• Comparing Vector Databases: Weaviate, Pinecone, pgvector, Milvus, MongoDB, Qdrant, Chroma, and More!
• Better Llama 2 with Retrieval Augmented Generation (RAG)
• LangChain x Pinecone: Supercharging Llama-2 with RAG
• Pinecone Quilts : Keeping Tradition Alive with Betty Ford-Smith
• LangChain: Chat with Books and PDF Files with Llama 2 and Pinecone (Free LLMs & Embeddings)
• Pinecone LangChain – RAG Questions/Answer Your Own Files (Multiple Files with Source & Page ) Code!
• Pinecone vs FAISS vs pgvector + OpenAI Embeddings
• Langchain + Qdrant Cloud | Pinecone FREE Alternative (20GB) | Tutorial
• Curso de LangChain, Pinecone y OpenAI: ¡Construye Aplicaciones de IA Potenciadas por LLM!
• How to use openai embeddings for qa? embedding pinecone openai vector gpt4 chatbot langchain
• Semantic Search using Pinecone | Part 2 | Create Pinecone Index | Vector Search in pinecone | RAG
• OpenAI Embeddings and Vector Databases Crash Course
• Search Your PDF App using Langchain, ChromaDB, and Open Source LLM: No OpenAI API (Runs on CPU)
• SMART Goals with Storyline 360, OpenAI’s GPT-3.5 Turbo-16K & Pinecone LLM | eLearning Series 2/4
• Demo: LangChain, Pinecone, and OpenAI
• Langchain + ChatGPT + Pinecone: A Question Answering Streamlit App
• Learn LangChain, Pinecone and OpenAI: Build Next-Gen LLM Apps
• LLM Module 2 – Embeddings, Vector Databases, and Search | 2.9 Notebook Demo Pinecone (Optional)
• Chatbot using Langchain Pinecone | Custom chatbot | LLM’s Based chatbot | Read Description
• Full Stack AI Semantic Search with Next.js, Pinecone, Langchain, & ChatGPT – Full TypeScript Course
• Pinecone LangChain – Questions/Answer on Your Own TXT/PDF Files – Code in 9 Minutes!
• How to LangChain + Flowise + Pinecone + Render = Chat With EVERYTHING!
• Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit: | Code
• How to use Metadata Filter on LangChain + Pinecone (No-code via FlowiseAI)
• 3. LangChain Agents Tutorials | LangChain | Agents | LLM | LLM Agents
• Intelligent PDF document application | Text embedding | Pinecone vector database | OpenAI GPT3.5 LLM
• Building an AI language tutor: Pinecone + LlamaIndex + GPT-3 + BeautifulSoup
• Langchain and Pinecone with Node.js: A Quick Start Tutorial
• How to LangChain + Flowise + Render = Chat With ANY Site!
• Upload and Search Your Own Documents With Bubble, OpenAI, and Pinecone (Part 1)
• How to LangChain + Flowise + Pinecone = AMAZING!
• Vector Databases simply explained! (Embeddings & Indexes)
• What are Vector Embeddings? | Pinecone DB | ChatGPT
• Fixing LLM Hallucinations with Retrieval Augmentation in LangChain 6
• LangChain No-Code PDF Q&A in 2min | OpenAI & Pinecone
• Building a Document-based Question Answering System with LangChain, Pinecone, and LLMs like GPT-4.
• LangChain Explained in 13 Minutes | QuickStart Tutorial for Beginners
• Tutorial 2: OpenAI Vector Embeddings and Pinecone for Retrieval-Augmented Generation
• Vector databases are so hot right now. WTF are they?
• How To Save OpenAI Embeddings In Database
• GPT 4: Superpower results with search
• LangChain – Using Hugging Face Models locally (code walkthrough)
• How to Build a Notion ChatBot For Your Knowledge Base Using LangChain (Code Template Included)
• Supercharge eCommerce Search: OpenAI’s CLIP, BM25, and Python
• LangChain101: Question A 300 Page Book (w/ OpenAI + Pinecone)
• Table Question-Answering with TAPAS in Python
• Advanced Sentiment Analysis with NLP Transformers + Vector Search
• Pinecone’s New *Hybrid* Search – the future of search?
• Build high-performance Semantic Search applications using Vector Databases | NLP | Code | Pinecone
• Pinecone 6 – Metadata Filters
• Hybrid Search Walkthrough in Pinecone