Sara Hamouda·Oct 27FAISS detailed..Semantic Textual Similarity, Sentence Transformers, embeddings, FAISS et clustering : comment construire un moteur de recherche sémantique…
Sai Maharana·Sep 30Build a PDF RAG Pipeline in Python with Sentence Transformers, FAISS, and GPT-OSS on GroqA simple walkthrough from PDF pages to searchable chunks and document-grounded answers.
Gauravwrites·Sep 26I Built RAG Pipelines with Both FAISS and ChromaDB - Here’s When to Use WhichA practitioner’s comparison from building enterprise knowledge search pipelines
Arjun Prabhulal·Sep 25How I built semantic search over 300 million plus academic papersA single-machine alternative to a distributed vector databaseA response icon1A response icon1
Himanshu Gupta·Sep 17FAISS — Facebook AI Similarity Searchis a highly efficient, open-source library designed for fast similarity search and clustering of dense vectors. It’s not a vector DB. It…
Zaffraj Suzanee·Sep 6From Documents to Answers: Giving AI a Better MemoryBuilding an AI system that can answer questions is one thing. Making sure it answers from the right knowledge is something completely…
Saket Sisodia·Aug 26Build Your Own RAG Agent with Vertex AI & GroqRetrieval-Augmented Generation (RAG) is transforming how we use AI. Instead of relying only on what a model has memorized during training…
Achref Soua·Aug 11Quiver, Part 4: The Numbers, Honestly: Benchmarking at a Fixed Recall (and Where Mine Loses)Speed at unknown recall is meaningless. Here’s Quiver’s full recall-vs-QPS curve on SIFT1M, the head-to-head against FAISS, Qdrant, and…
aravinth C·Aug 11🚀 Running RAGatouille with ColBERT v2.0 on Windows: Problems I Faced and How I Fixed ThemIf you are building a RAG (Retrieval-Augmented Generation) application, you have probably heard of ColBERT.
Sathwik Pinninti·Jul 28K-Nearest Neighbours: Building a Fraud transaction detection Model from scratchI finally hit the next algorithm in my list which turned out to be quite a different one from all the ones we’ve learnt previously. Unlike…
