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Metadata filtering is a technique used in vector databases to refine and control search results based on structured attributes associated with documents. Instead of relyin...
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Semantic Document Search
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Semantic search allows computers to understand the meaning behind user queries rather than relying only on exact keyword matching. Using FAISS (Facebook AI Similarity Sear...
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pgvector
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pgvector is an open-source extension for PostgreSQL that adds native support for vector similarity search, enabling us to store, index and query high-dimensional embedding...
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Milvus
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Milvus is an open-source vector database designed for managing and searching large-scale embedding data efficiently. It is widely used in AI, machine learning and semantic...
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Text Embeddings using Cohere
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Text Embeddings using Cohere allow you to convert text into numerical vectors that capture meaning, context and semantic relationships between words or sentences. These em...
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Building an AI Agent Using Google’s Agent Development Kit (ADK)
Last Updated: 28 October 2025
Google’s Agent Development Kit (ADK) is a useful framework for creating autonomous AI agents. Unlike simple chatbot frameworks, ADK allows developers to build agents that ...
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What is Google ADK (Agent Development Kit)
Last Updated: 28 October 2025
Google’s Agent Development Kit (ADK) is an open-source framework that helps developers build, test, evaluate and deploy autonomous AI agents and multi-agent systems. Unlik...
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Building AI Agents using Langchain and Langgraph
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Let's build an intelligent AI Agent that can understand, reason and generate responses dynamically using LangChain for LLM interaction and LangGraph for managing logical w...
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Building AI Agents using Autogen
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AutoGen is a framework for building multi-agent AI systems where multiple agents collaborate, communicate and solve complex tasks autonomously. It allows developers to des...
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RAG vs. Closed-Book Models
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In the world of AI and LLMs, there are two main ways a model can answer questions, Retrieval-Augmented Generation (RAG) and Closed-book Models. The main difference is that...
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Building AI Agents using AGNO
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AGNO is a framework for building AI agents that can perform automated tasks, make decisions and interact intelligently with data or users. It simplifies the process of cre...
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OpenAI Tools
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OpenAI offers a diverse set of tools that enable interaction with artificial intelligence across text, code, images, audio and embeddings. These tools are designed to prov...
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Computational Power to Train AI
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To train modern Artificial Intelligence (AI) models, computational power is required to process large datasets and perform complex mathematical operations. The efficiency ...
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Self RAG (Retrieval Augmented Generation)
Last Updated: 22 September 2025
Retrieval Augmented Generation combines a Large Language Model (LLM) with an external knowledge source to improve response accuracy and reduce hallucinations. Self Reflect...
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CrewAI Flow
Last Updated: 15 September 2025
CrewAI Flows are used for building, orchestrating and managing AI workflows in a structured, event-driven manner. It allows developers to combine tasks, Crews (groups of a...
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