Showing results for Query Vector Vector Product Vector
GitHub Repo
https://github.com/chandann23/ProductFiletrs
chandann23/ProductFiletrs
Project to learn tanstack query , zod , vector database
GitHub Repo
https://github.com/AbhishekGY/vector_database
AbhishekGY/vector_database
Building a vector database from scratch in pure Python that supports: inserting vectors, quantizing them with Product Quantization, persisting the index to disk, and querying for approximate nearest neighbours via a simple API. No FAISS. No Pinecone.
GitHub Repo
https://github.com/kevin-gatimu/products-api-cosmosdb-typescript-vector-search
kevin-gatimu/products-api-cosmosdb-typescript-vector-search
In this guide, we will build a Products API using Express and TypeScript, and integrate Azure Cosmos DB (with vector search capabilities) for managing product data. We'll also implement vector search, enabling us to query items based on vector similarity.
GitHub Repo
https://github.com/MurtazaAbidi/Vector-Space-Model
MurtazaAbidi/Vector-Space-Model
The query processing of VSM is quite tricky, you need of optimize every aspect of computation. The high-dimensional vector product and similarity values of query (q) and documents (d) need to optimized.
GitHub Repo
https://github.com/ellipsion/semantic-vector-search
ellipsion/semantic-vector-search
A hybrid product search in Next.js using semantic vector querying.
GitHub Repo
https://github.com/unais5/Vector-Space-Model
unais5/Vector-Space-Model
The query processing of VSM is quite tricky, you need of optimize every aspect of computation. The high-dimensional vector product and similarity values of query (q) and documents (d) need to optimized. Basic Assumption for Vector Space Model (VSM) Retrieval Model 1.Simple model based on linear algebra. Terms are considered as features using a weighting scheme. 2.Allows partial matching of documents with the queries. Hence, able to produce good institutive scoring. Continuous scoring between queries and documents. 3.Ranking of documents are possible using relevance score between document and query.
GitHub Repo
https://github.com/playwithllm/store
playwithllm/store
A RAG-driven image product search that showcases MERN, Milvus for vector indexing, Transformers, and a local Ollama Gemma LLM. Explore integrated embeddings, store vectors in Milvus, and manipulate queries with advanced language understanding.
GitHub Repo
https://github.com/felixmaximilian/mips
felixmaximilian/mips
Scala implementation of a Branch and Bound Balltree algorithm to find points in vector space that have largest inner product to a given query (maximum inner product search).
GitHub Repo
https://github.com/tanmay17061/llm-product-search
tanmay17061/llm-product-search
Utilize LLM vectorizer, vector database and LLM summarizer to retrieve most relevant products to a user query.
GitHub Repo
https://github.com/digitaldreams/VectorCart