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Metadata Filtering in LangChain
Last Updated: 30 October 2025
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 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
Last Updated: 30 October 2025
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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AI for Geeks: Determinism in LLMs
Last Updated: 25 October 2025
Welcome back to the second edition of AI for Geeks!As someone who’s been working in data science for over a decade, I can't help but be amazed by the pace of change. The f...
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I glanced at the calendar today, October 18th. It struck me that there are just 75 days left until we ring in a new year. 2025 has been a whirlwind. The AI hype train that...
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Vector Store Memory in LangChain
Last Updated: 25 October 2025
Vector Store Memory in LangChain is a mechanism that stores conversation history as vector embeddings instead of plain text. This allows the model to retrieve relevant pas...
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Streaming Responses in LangChain
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Streaming responses in LangChain is a method that allows developers to receive output from a language model incrementally, token by token, instead of waiting for the entir...
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LLMs often struggle to maintain context over long conversations, which can lead to repetitive, inconsistent or irrelevant responses. Conversation summary memory helps solv...
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LangChain APIs & Environment Setup
Last Updated: 24 October 2025
LangChain is transforming the way developers build applications with Large Language Models (LLMs). From chatbots to retrieval-augmented generation (RAG) pipelines, it allo...
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ML Diagnostics
Last Updated: 24 October 2025
ML diagnostics is systematic set of techniques and tools used to analyze, evaluate and debug machine learning models throughout their entire lifecycle. They help data scie...
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ChatPromptTemplate in LangChain
Last Updated: 24 October 2025
ChatPromptTemplate is a structured template in LangChain designed for multi turn conversations and chat based workflows. It allows developers to define messages, roles and...
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Output Parsers in LangChain
Last Updated: 25 October 2025
LLMs often generate text that is unstructured or inconsistent. Output parsers help convert this raw text into structured formats ensuring our application can reliably inte...
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Prompt Templates
Last Updated: 27 October 2025
Prompt templates are reusable formats for instructing LLMs using placeholders to insert variable information. They are essential for consistency, efficiency and scalabilit...
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Artificial Intelligence
Large Language Model(LLM)
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