--- title: "#faiss articles | Hashnode" description: "Explore 29 articles tagged #faiss on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/faiss" --- Tag # #faiss 29 posts · 1 followers [Parth krishan Goswami](https://hashnode.com/@ParthKG) · [Sep 21](https://hashnode.com/posts/day-19-app-py-from-notebook-to-src-and-the-index-that-went-stale/6ab134c854f3783333f35b29) ### [Day 19: app.py - From Notebook to src/, and the Index That Went Stale](https://parthkg.hashnode.dev/day-19-app-py-from-notebook-to-src-and-the-index-that-went-stale?utm_source=hashnode&utm_medium=feed) I added the RAG paper to my RAG pipeline, and it told me it couldn't find anything about RAG. 8 min read · [parthkg.hashnode.dev](https://parthkg.hashnode.dev/day-19-app-py-from-notebook-to-src-and-the-index-that-went-stale?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/day-19-app-py-from-notebook-to-src-and-the-index-that-went-stale/6ab134c854f3783333f35b29) [Varun Vaibhav.S](https://hashnode.com/@theflighttech) · [Jul 8](https://hashnode.com/posts/how-i-automated-3-4-days-of-manual-work-at-l-t-using-python/6a4e34118b1bcd513a91935a) ### [How I Automated 3–4 Days of Manual Work at L&T Using Python](https://theflighttechlabs.hashnode.dev/how-i-automated-3-4-days-of-manual-work-at-l-t-using-python?utm_source=hashnode&utm_medium=feed) A PDF extraction pipeline built during my internship at L&T Construction — FAISS, BM25, PyMuPDF, and Python 6 min read · [theflighttechlabs.hashnode.dev](https://theflighttechlabs.hashnode.dev/how-i-automated-3-4-days-of-manual-work-at-l-t-using-python?utm_source=hashnode&utm_medium=feed) [Basith M Rasak](https://hashnode.com/@basithmrasak) · [May 10](https://hashnode.com/posts/why-faiss-was-the-only-choice-for-my-medical-ai-project/6a00d215e3eebc2e20b8d734) ### [Why FAISS Was the Only Choice for My Medical AI Project](https://coralithm.hashnode.dev/why-faiss-was-the-only-choice-for-my-medical-ai-project?utm_source=hashnode&utm_medium=feed) No Pinecone. No Chroma. No Weaviate. Just FAISS. Here is the thinking behind picking the simplest tool when you are building on zero budget. 3 min read · [coralithm.hashnode.dev](https://coralithm.hashnode.dev/why-faiss-was-the-only-choice-for-my-medical-ai-project?utm_source=hashnode&utm_medium=feed) [aiagentmemory](https://hashnode.com/@aiagentmemory) · [Apr 7](https://hashnode.com/posts/faiss-vector-database-in-memory-accelerating-ai-agent-recall-and-memory/69d56e60a6dd44a432c57318) ### [FAISS Vector Database in Memory: Accelerating AI Agent Recall and Memory](https://aiagentmemory.hashnode.dev/faiss-vector-database-in-memory-accelerating-ai-agent-recall-and-memory?utm_source=hashnode&utm_medium=feed) Explore the power of a FAISS vector database in memory for accelerating AI agent recall. Learn about FAISS in-memory capabilities, practical examples, 5 min read · [aiagentmemory.hashnode.dev](https://aiagentmemory.hashnode.dev/faiss-vector-database-in-memory-accelerating-ai-agent-recall-and-memory?utm_source=hashnode&utm_medium=feed) [aiagentmemory](https://hashnode.com/@aiagentmemory) · [Apr 7](https://hashnode.com/posts/ai-episodic-memory-with-faiss-enhancing-agent-recall/69d537cad7a38df2689e2943) ### [AI Episodic Memory with FAISS: Enhancing Agent Recall](https://aiagentmemory.hashnode.dev/ai-episodic-memory-with-faiss-enhancing-agent-recall?utm_source=hashnode&utm_medium=feed) AI Episodic Memory with FAISS: Enhancing Agent Recall. Learn about ai episodic memory faiss, FAISS for episodic memory with practical examples, code s 10 min read · [aiagentmemory.hashnode.dev](https://aiagentmemory.hashnode.dev/ai-episodic-memory-with-faiss-enhancing-agent-recall?utm_source=hashnode&utm_medium=feed) [Chidozie Managwu](https://hashnode.com/@Doxzy) · [Mar 16](https://hashnode.com/posts/build-rag-app-faiss-fastapi/69b841572ad6ae5184d54317) ### [How to Ship a Production-Ready RAG App with FAISS (Guardrails, Evals, and Fallbacks)](https://freecodecamp.org/news/build-rag-app-faiss-fastapi?utm_source=hashnode&utm_medium=feed) Most LLM applications look great in a high-fidelity demo. Then they hit the hands of real users and start failing in very predictable yet damaging ways. They answer questions they should not, they bre 14 min read · [freecodecamp.org](https://freecodecamp.org/news/build-rag-app-faiss-fastapi?utm_source=hashnode&utm_medium=feed) [MindsDB](https://hashnode.com/@MindsDB) · [Jan 29](https://hashnode.com/posts/building-a-semantic-search-knowledge-base-with-mindsdb/697ba6459904f2c050bf32b0) ### [Building a Semantic Search Knowledge Base with MindsDB](https://mindsdb.hashnode.dev/building-a-semantic-search-knowledge-base-with-mindsdb?utm_source=hashnode&utm_medium=feed) Learn how to build intent-based semantic search in MindsDB with Knowledge Bases, PGVector and FAISS. 26 min read · [mindsdb.hashnode.dev](https://mindsdb.hashnode.dev/building-a-semantic-search-knowledge-base-with-mindsdb?utm_source=hashnode&utm_medium=feed) [Sai Bhargav](https://hashnode.com/@rsbhargav) · [Dec 29, 2025](https://hashnode.com/posts/how-to-migrate-from-faiss-to-qdrant-a-real-world-guide-using-the-ms-marco-passage-dataset/695269f1972a17e24f11c332) ### [How to Migrate from FAISS to Qdrant: A Real-World Guide Using the MS MARCO Passage Dataset](https://saibhargav.hashnode.dev/how-to-migrate-from-faiss-to-qdrant-a-real-world-guide-using-the-ms-marco-passage-dataset?utm_source=hashnode&utm_medium=feed) Why FAISS is great for experimentation but difficult in production 12 min read · [saibhargav.hashnode.dev](https://saibhargav.hashnode.dev/how-to-migrate-from-faiss-to-qdrant-a-real-world-guide-using-the-ms-marco-passage-dataset?utm_source=hashnode&utm_medium=feed) [Eshan Jairath](https://hashnode.com/@Jairath) · [Nov 20, 2025](https://hashnode.com/posts/designing-smarter-rag-systems-with-effective-chat-history-management/691f3263148cb870a92130c5) ### [Designing Smarter RAG Systems with Effective Chat History Management](https://eshanjairath.hashnode.dev/designing-smarter-rag-systems-with-effective-chat-history-management?utm_source=hashnode&utm_medium=feed) Designing Smarter RAG Systems with Chat History 5 min read · [eshanjairath.hashnode.dev](https://eshanjairath.hashnode.dev/designing-smarter-rag-systems-with-effective-chat-history-management?utm_source=hashnode&utm_medium=feed) [Shivam Shasheesh](https://hashnode.com/@shivamshasheesh) · [Oct 20, 2025](https://hashnode.com/posts/ragpipe-production-rag-framework-hybrid-search-contextual-chunking/69d188b2231cb87d2b81219c) ### [I Built a Production-Grade RAG Framework With Hybrid Search, Contextual Chunking, and Zero Cloud Lock-In](https://shivamshasheesh.hashnode.dev/ragpipe-production-rag-framework-hybrid-search-contextual-chunking?utm_source=hashnode&utm_medium=feed) How ragpipe combines BM25 + dense vectors, Anthropic's contextual retrieval, HyDE query expansion, and Ollama-first local inference into a modular Python framework 9 min read · [shivamshasheesh.hashnode.dev](https://shivamshasheesh.hashnode.dev/ragpipe-production-rag-framework-hybrid-search-contextual-chunking?utm_source=hashnode&utm_medium=feed)