--- title: "#vectorsearch articles | Hashnode" description: "Explore 203 articles tagged #vectorsearch on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/vectorsearch" --- Tag # #vectorsearch 203 posts · 6 followers [ZyVOP](https://hashnode.com/@zyvop) · [Oct 20](https://hashnode.com/posts/how-rag-works-end-to-end-from-raw-documents-to-grounded-answers-x482z/6ad6de51055a947908902e5b) ### [How RAG Works, End to End: From Raw Documents to Grounded Answers](https://blog.zyvop.com/how-rag-works-end-to-end-from-raw-documents-to-grounded-answers-x482z?utm_source=hashnode&utm_medium=feed) Retrieval-augmented generation explained as a pipeline, from raw documents to cited answers, with the failure modes at every stage. 13 min read · [blog.zyvop.com](https://blog.zyvop.com/how-rag-works-end-to-end-from-raw-documents-to-grounded-answers-x482z?utm_source=hashnode&utm_medium=feed) [5](https://hashnode.com/posts/how-rag-works-end-to-end-from-raw-documents-to-grounded-answers-x482z/6ad6de51055a947908902e5b) [Internals Decoded](https://hashnode.com/@internalsdecoded) · [Oct 20](https://hashnode.com/posts/rag-vs-knowledge-graphs/6ad765e1854b8690efef3d8e) ### [RAG vs Knowledge Graphs: Two Kinds of AI Memory Lookup](https://internals-decoded.hashnode.dev/rag-vs-knowledge-graphs?utm_source=hashnode&utm_medium=feed) Vector search answers fuzzy questions. Graph traversal answers multi-hop ones. Real systems often need both. 12 min read · [internals-decoded.hashnode.dev](https://internals-decoded.hashnode.dev/rag-vs-knowledge-graphs?utm_source=hashnode&utm_medium=feed) [Internals Decoded](https://hashnode.com/@internalsdecoded) · [Sep 24](https://hashnode.com/posts/embeddings-and-vector-search/6ab563e5e09bd7e723ee5cd1) ### [Embeddings and Vector Search, Demystified](https://internals-decoded.hashnode.dev/embeddings-and-vector-search?utm_source=hashnode&utm_medium=feed) Cosine similarity, dimensions, and what 'semantic' actually buys you. 13 min read · [internals-decoded.hashnode.dev](https://internals-decoded.hashnode.dev/embeddings-and-vector-search?utm_source=hashnode&utm_medium=feed) [Jon Dixon](https://hashnode.com/@orclapex) · [Sep 12](https://hashnode.com/posts/vector-search-is-hard/6aa54a659af1adce82c257fd) ### [Vector Search is Hard](https://blog.cloudnueva.com/vector-search-is-hard?utm_source=hashnode&utm_medium=feed) Vector search in Oracle APEX takes more than embeddings. Explore chunking, model choices, and why real search requirements should come first. 2 min read · [blog.cloudnueva.com](https://blog.cloudnueva.com/vector-search-is-hard?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/vector-search-is-hard/6aa54a659af1adce82c257fd) [Sameer Selokar](https://hashnode.com/@sameers9823) · [Sep 4](https://hashnode.com/posts/ai-memory-how-can-an-ai-agent-remember-you/6a9ae866b924ea7c18e18d08) ### [AI Memory: How Can an AI Agent Remember You?](https://blogbysameer.hashnode.dev/ai-memory-how-can-an-ai-agent-remember-you?utm_source=hashnode&utm_medium=feed) Learn how AI memory works, from short-term and long-term memory to Mem0, knowledge graphs, and personalized AI agents. 15 min read · [blogbysameer.hashnode.dev](https://blogbysameer.hashnode.dev/ai-memory-how-can-an-ai-agent-remember-you?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/ai-memory-how-can-an-ai-agent-remember-you/6a9ae866b924ea7c18e18d08) [Abhijat](https://hashnode.com/@abhijat) · [Aug 31](https://hashnode.com/posts/the-query-expansion-that-made-retrieval-worse/6a9577229fdc6d2137cb225f) ### [The Query Expansion That Made Retrieval Worse](https://expensivetobewrong.hashnode.dev/the-query-expansion-that-made-retrieval-worse?utm_source=hashnode&utm_medium=feed) Term expansion is a lexical trick. Feed it to a dense encoder and you drag the query off the answer. 12 min read · [expensivetobewrong.hashnode.dev](https://expensivetobewrong.hashnode.dev/the-query-expansion-that-made-retrieval-worse?utm_source=hashnode&utm_medium=feed) [satyam sahu](https://hashnode.com/@satyamsahu671) · [Aug 27](https://hashnode.com/posts/building-hybrid-search-for-financial-intelligence/6a907d7ff7ebad457db4e9b9) ### [Building Hybrid Search for Financial Intelligence](https://thebuildersnotebook.hashnode.dev/building-hybrid-search-for-financial-intelligence?utm_source=hashnode&utm_medium=feed) From Pure BM25 to Dense Vectors and Splade With Qdrant, Why a Single Retrieval Method Will Never Be Enough, Highlighting Where Each One Excels and Where Each Falls Short 44 min read · [thebuildersnotebook.hashnode.dev](https://thebuildersnotebook.hashnode.dev/building-hybrid-search-for-financial-intelligence?utm_source=hashnode&utm_medium=feed) [Sachin Nandanwar](https://hashnode.com/@SachinNandanwar) · [Aug 26](https://hashnode.com/posts/rag-for-microsoft-ai-agent-through-textsearchprovider-and-redis/6a8e69cedeab3ab2cc6fd4ac) ### [RAG for Microsoft AI Agent through TextSearchProvider and Redis](https://www.azureguru.net/rag-for-microsoft-ai-agent-through-textsearchprovider-and-redis?utm_source=hashnode&utm_medium=feed) Implement RAG in Microsoft Agent Framework using Redis and TextSearchProvider for vector search, embeddings and semantic retrieval 12 min read · [azureguru.net](https://www.azureguru.net/rag-for-microsoft-ai-agent-through-textsearchprovider-and-redis?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/rag-for-microsoft-ai-agent-through-textsearchprovider-and-redis/6a8e69cedeab3ab2cc6fd4ac) [ma michael](https://hashnode.com/@miachaelma) · [Aug 27](https://hashnode.com/posts/agentic-rag-vs-traditional-rag-how-ai-agents-improve-retrieval/6a8faa24d9886eac86b9f0db) ### [Agentic RAG vs. Traditional RAG: How AI Agents Improve Retrieval](https://cloudsway.hashnode.dev/agentic-rag-vs-traditional-rag-how-ai-agents-improve-retrieval?utm_source=hashnode&utm_medium=feed) Compare agentic RAG and traditional RAG across retrieval, architecture, cost and latency, and learn when an AI-controlled retrieval loop is worthwhile 9 min read · [cloudsway.hashnode.dev](https://cloudsway.hashnode.dev/agentic-rag-vs-traditional-rag-how-ai-agents-improve-retrieval?utm_source=hashnode&utm_medium=feed) [Ajitabh Singh](https://hashnode.com/@ajitabh) · [Aug 11](https://hashnode.com/posts/why-chunking-strategy-can-make-or-break-your-rag-pipeline/6a7ab6663ddc972e303c1f03) ### [Why Chunking Strategy Can Make or Break Your RAG Pipeline](https://ajitabh.net/why-chunking-strategy-can-make-or-break-your-rag-pipeline?utm_source=hashnode&utm_medium=feed) Chunking quietly shapes RAG retrieval quality. Learn the four main strategies, common failure modes, and how to evaluate them for your own data. 7 min read · [ajitabh.net](https://ajitabh.net/why-chunking-strategy-can-make-or-break-your-rag-pipeline?utm_source=hashnode&utm_medium=feed) [7](https://hashnode.com/posts/why-chunking-strategy-can-make-or-break-your-rag-pipeline/6a7ab6663ddc972e303c1f03)