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MPMohana Priya Rmona23.hashnode.dev2d ago · 2 min read

Why I chose Qdrant over ChromaDB in my RAG System

When I started building Nexus — my multi-source RAG system — one of the first real decisions I had to make was picking a vector database. It sounds like a small choice. It isn't. First, why do you eve

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Nnexmindbusinessnexmind3.hashnode.devApr 13 · 5 min read

Build a Local RAG System with Ollama and ChromaDB in 30 Minutes

Build a Local RAG System with Ollama and ChromaDB in 30 Minutes Meta description: Learn how to build a local RAG system using Ollama and ChromaDB in just 30 minutes, and take your AI and data engineering skills to the next level. Tags: RAG System, Ol...

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VRVijaya Rajeev Bolluthinkwithops.hashnode.devApr 1 · 4 min read

I Built an AI That Understands Any GitHub Repo Using LangChain and ChromaDB

Why I Built This Every time I join a new codebase, the first few days are the same: open the repo, stare at folders, try to figure out which service does what, read half a file, get interrupted, lose

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AAAbstract Algorithmsabstractalgorithms.devMar 9 · 14 min read

Guide to Using RAG with LangChain and ChromaDB/FAISS

TLDR: RAG (Retrieval-Augmented Generation) gives an LLM access to your private documents at query time. You chunk and embed documents into a vector store (ChromaDB or FAISS), retrieve the relevant chu

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NRNabil Ridhwanblog.nabilridhwan.comFeb 15 · 10 min read

Building a RAG System with ChromaDB: Why My Embeddings Failed (And How I Fixed It)

Author’s Note I’ve been gone for long. I’ve been serving my nation (National Service) and have been using the time to relax, learn different skills and upgrading myself in different ways. Unexpectedly, I also went full-on into my other hobby… Playing...

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SShibleyapistatuscheck.hashnode.devFeb 5 · 1 min read

Is Chroma Down? How to Check ChromaDB Status & Fix Common Issues

Last updated: February 5, 2026. Chroma status information reflects common self-hosted deployment patterns and early 2026 Chroma Cloud beta. For the latest Chroma updates, visit docs.trychroma.com.

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RKRahul Kaushalrahulkaushal.hashnode.devJan 12 · 19 min read

How AI Finds What You Actually Mean

So. You have heard the word "embedding" thrown around about forty times in AI tutorials. You have nodded along politely. You still have no idea what it actually is. That ends today. This post is going

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RKRahul Kaushalrahulkaushal.hashnode.devJan 5 · 14 min read

The Modern LLM Engineering Stack, Explained Simply

So you want to build AI apps. Cool. But every tutorial you open looks like it was written by a robot for other robots. Words like "vector embeddings," "RAG pipeline," "orchestration layer" get thrown

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ADAmoy Duttablogs-amoydutta.hashnode.devDec 22, 2025 · 11 min read

Building a Smarter Product Chatbot: What RAG Gets Right—and Where It Breaks

Imagine you're on a vast electronics e-commerce site like samsung.com. You're surrounded by hundreds of products across dozens of categories. You have specific needs- "a durable camera for hiking" or "a quiet laptop for a student" - but the website's...

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EJEshan Jairatheshanjairath.hashnode.devNov 20, 2025 · 5 min read

Designing Smarter RAG Systems with Effective Chat History Management

Building a robust RAG (Retrieval-Augmented Generation) system isn’t only about retrieving information, it’s about creating conversations that feel contextual, continuous, and intelligent. One of the biggest challenges in achieving this is managing ch...

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Trending tags this week

Why I chose Qdrant over ChromaDB in my RAG System

Build a Local RAG System with Ollama and ChromaDB in 30 Minutes

I Built an AI That Understands Any GitHub Repo Using LangChain and ChromaDB

Guide to Using RAG with LangChain and ChromaDB/FAISS

Building a RAG System with ChromaDB: Why My Embeddings Failed (And How I Fixed It)

Is Chroma Down? How to Check ChromaDB Status & Fix Common Issues

How AI Finds What You Actually Mean

The Modern LLM Engineering Stack, Explained Simply

Building a Smarter Product Chatbot: What RAG Gets Right—and Where It Breaks

Designing Smarter RAG Systems with Effective Chat History Management