Search results
28 packages found
In-memory vector database
VectorVault API - JavaScript Client: Streamline your front-end development with the powerful combination of OpenAI's API and VectorVault's Cloud Vector Database. This JavaScript client provides seamless integration for building advanced RAG (Retrieve and
JavaScript/Typescript ORMs for Lantern Vector Database
JavaScript diagramming library
Firebase Genkit AI framework plugin for HNSW vector database. Get AI response enriched with additional context and knowledge with HNSW Vector Database using RAG Implementation
- genkit-plugin
- genkit-indexer
- genkit-retriever
- genkit-embedder
- genkit-flow
- genkit-rag
- hnsw
- vector
- rag
- ai
- generative-ai
- genai
Genkit AI framework plugin for HNSW vector database. get AI response enriched with additional context and knowledge with HNSW Vector Database using RAG Implementation
- genkit-plugin
- genkit-indexer
- genkit-retriever
- genkit-embedder
- genkit-flow
- genkit-rag
- hnsw
- vector
- rag
- ai
- generative-ai
- genai
ChromaDB Node for Node-RED
Build a knowledge base and ask it questions through ChatGPT
ChromaDB Node for Node-RED
In-memory vector embeddings database using embeddings for efficient querying and searching of text documents
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
A vectorDB over HollowDB using HNSW
Genkit AI framework plugin for Chroma vector database.
Genkit AI framework plugin for Pinecone vector database.
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
Google analytics for semantic search in vector databases
An in-memory semantic search database using AI
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
Node.js package for Tychos API
A vector database that uses the local file system for storage.