Vector Databases for Generative AI Applications
Explore vector databases' role in generative AI, covering concepts like RAG and efficient open-source tools for building AI applications.
PostgreSQL Extensions: Covering Multiple Use Cases
Explore PostgreSQL's extensibility to cover diverse use cases, from analytics and geospatial data to AI/ML and time series, saving time and resources.
Vector Databases for Generative AI Applications - Episode 3
Explore vector databases' role in generative AI, covering search engines, open-source tools, and efficient application development for chatbots, virtual assistants, and content creation.
LangGraph AI Agent Upgrade: Integrating Groq, Gemini, and Chainlit Front End
Upgrade a LangGraph AI agent with Groq, Gemini, and Claude integrations, fix bugs, and create a stylish Chainlit front-end for web searching capabilities similar to Perplexity.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
Embeddings and Vectors: The Key to Production AI
Explore how teams program AI with data using embeddings and vectors, and learn about future approaches for building production AI applications.
Building a Chat Assistant with Canopy and Anyscale Endpoints
Explore building RAG-based chat assistants using Canopy and Anyscale Endpoints. Learn architecture, see live examples, and get started with your own project using flexible frameworks and serverless LLM APIs.
Pinecone Vector Database - Build Knowledgeable AI
Discover vector databases' advantages, explore Pinecone's innovative features, and watch a live demo on getting started with its powerful search capabilities.
Set Up PostgreSQL Replication Using repmgr - PostgreSQL Failover Tutorial
Learn to set up PostgreSQL replication with repmgr for effective failover management. Covers installation, configuration, user setup, SSH key management, and practical failover testing.
Building a High-Performance Time Series Database from Scratch - Optimization Strategies
Explore optimization strategies for high-performance time series databases, including string interning, caching, goroutine management, and efficient resource allocation using sync.Pool.
Scaling Time-Series Data to Infinity - A Kubernetes-Powered Solution with Envoy
Explore building an infinitely scalable time-series database using Object Storage, Kubernetes, and Envoy for petabyte-scale data processing and management in a cost-efficient, highly available manner.
A Fun and Absurd Introduction to Vector Databases
Explore vector databases for AI applications and natural language search. Learn to transform data into vectors, query effectively, and discover diverse use cases through engaging demonstrations.
Pinecone Vector Database - Building Knowledgeable AI
Discover vector databases for AI, explore Pinecone's features, and learn implementation through a live demo to enhance your AI projects with efficient data management.
Optimizing Query Performance with Pinecone's Rerank API and Fleak
Explore reranking, Pinecone's Embed and Rerank APIs, and see a live demo using Fleak to enhance query results and improve search performance.
The Magic of Multilingual Search with Pinecone Serverless and Inference
Explore multilingual search using Pinecone Serverless and Inference. Learn about embedding models, vector search basics, and practical applications through a language learning demo and expert insights.
Chat with Database using LangChain - Lecture 5
Learn to interact with MySQL databases using LangChain and LLMs. Create an app that translates English inputs into SQL queries, retrieves data, and presents results.
End-to-End Multi AI Agents RAG with LangGraph, AstraDB, and Llama 3.1
Explore multi-agent AI systems using LangGraph, AstraDB, and Llama 3.1. Learn to build advanced RAG applications with vector databases and open-source models.
Build a Semantic Search App Using Next.js and SingleStoreDB
Learn to create a semantic search app with Next.js and SingleStoreDB, focusing on vector embeddings and efficient data retrieval for enhanced search functionality.
Make Your RAGs Work at Scale - Insights on Retrieval Augmented Generation
Insightful podcast on scaling RAG systems, covering AI evolution, search optimization, and practical implementation strategies for production-ready solutions.
Local RAG with Llama 3.1 for PDFs - Private Chat with Documents using LangChain and Streamlit
Build a local RAG system for PDFs using LLMs, LangChain & Streamlit. Extract text, create vector stores, implement advanced retrieval, and integrate local/remote LLMs for efficient document processing.
Data Modeling in Appwrite with Node SDK
Learn to create and manage collections, attributes, and indexes in Appwrite using Node SDK. Optimize database performance and navigate common challenges in backend development.