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29 packages found
A vector search utility written purely in javascript with no dependencies. Allows for the searching/ranking of a list of javascript objects with 'embedding' field defined.
In-memory vector database
Node.js bindings for faiss
- faiss
- approximate
- nearest
- neighbor
- search
- face
- matching
- machine learning
- feature
- vector
- indexing
- similarity search
- embeddings
Compute the cosine similarity of two vectors. Fully typed, 0 dependencies.
JavaScript NAPI bindings for faiss
- faiss
- approximate
- nearest
- neighbor
- search
- face
- matching
- machine learning
- feature
- vector
- indexing
- similarity search
- embeddings
ChromaDB Node for Node-RED
ChromaDB Node for Node-RED
Build a knowledge base and ask it questions through ChatGPT
ReAI RAG,向量数据库，EMBEDDING，Rerank
A client side vector search library
Facial Recognize Nodes With AI for Node-RED
- node-red
- FaceNet
- face detection
- yolo
- onnx
- object detection
- webcam
- vector
- database
- chromadb
- embedding
- cosine
- similarity
- distance
Local, cost-free vector store for text embeddings and similarity search (soon) in-browser and Node.js.
Genkit AI framework plugin for Pinecone vector database.
Genkit AI framework plugin for Chroma vector database.
Rag chatbot for business
An in-memory semantic search database using AI
Lightweight Cosine Similarity Function. Built as an alternative to the compute-cosine-similarity package. Works with high dimension vectors like openAI embeddings
- vector
- cosine
- similarity
- distance
- openai
- embeddings
- nlp
- machine learning
- node
- typescript
- compute-cosine-similarity
- high-dimension
- word embeddings
- ml-matrix
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and