Using Azure Database for PostgreSQL as a vector store
A guide on using Azure Database for PostgreSQL with the vector extension as a vector store for LLM applications, including setup and integration with LangChain.
Geert Baeke explains how to build a cloud-native AI Agent Server using AG-UI and Microsoft Agent Framework, showcasing a Python backend with real-time streaming, standardized agent communication, and Azure-ready deployment.
50 articles from this blog
A guide on using Azure Database for PostgreSQL with the vector extension as a vector store for LLM applications, including setup and integration with LangChain.
A tutorial on building a Python chat app using Azure OpenAI's 'Add your data' feature and vector search with Azure Cognitive Search.
Explores recent updates to Azure OpenAI's 'Add your data' feature, focusing on vector search setup with Azure Blob Storage and Cognitive Search.
Explains how to use Azure OpenAI's 'Add your data' feature programmatically via REST APIs to integrate custom documents into AI responses.
A guide to building a custom chatbot in Azure OpenAI using your own data, covering setup, costs, and integration with Azure Cognitive Search.
An introduction to Semantic Kernel's Planner, a tool for automatically generating and executing complex AI tasks using plugins and natural language goals.
A tutorial on building a Streamlit web UI for a semantic search application using Pinecone vector database and OpenAI embeddings.
Explains a chunk-based embedding method using LangChain and Pinecone to improve blog post search accuracy and efficiency.
A guide on using Redis as a vector database to store and query embeddings for semantic search, replacing Pinecone in a tech stack.
A technical guide on using Pinecone vector search and OpenAI's API to build a semantic search engine for personal blog posts.