Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for typescript vector database
typescript
x
vector-database
x
23 search results found
Attu
⭐
689
Milvus management GUI
Vector Admin
⭐
482
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Embedbase
⭐
434
A dead-simple API to build LLM-powered apps
Ai Template
⭐
321
Mercury - Train your own custom GPT. Chat with any file, or website.
Vectorhub
⭐
233
Quickly and easily build AI website or application by using embeddings!
Qdrant Js
⭐
153
JavaScript/Typescript SDK for Qdrant Vector Database
Pinecone Ts Client
⭐
144
The official TypeScript/Node client for the Pinecone vector database
Pinecone Client
⭐
112
Pinecone.io client with excellent TypeScript support.
Drqa
⭐
96
How to create Question-Answering system combining Langchain and OpenAI
7 Docs
⭐
87
Use local files or public GitHub repository as a source and ask questions through ChatGPT about it
Reor
⭐
61
Private AI-powered personal knowledge management tool with a focus on running models locally.
Typescript Client
⭐
48
Official Weaviate TypeScript Client
Vector Storage
⭐
36
Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.
Embedjs
⭐
25
A NodeJS RAG framework to easily work with LLMs and embeddings
Squaredev
⭐
21
The platform for developers building applications powered by LLMs
Tigris Client Ts
⭐
14
TypeScript client for Tigris
Vector Index Visualization Tool
⭐
11
visualization tool for vector search index
Weaviate Javascript Client
⭐
9
No longer maintained, please see the TypeScript client
Markai
⭐
9
An open-source OpenAI wrapper for a RAG-based chatbot that seamlessly integrates with your documents.
Aidocumentlibrarychat
⭐
7
A project to show howto use SpringAI with OpenAI to chat with the documents in a library. Documents are stored in a normal/vector database. The AI is used to create embeddings from documents that are stored in the vector database. The vector database is used to query for the nearest document. That document is used by the AI to generate the answer.
Discontext
⭐
7
Simple Discord Bot that allows you to search for messages semantically. (using OpenAI’s text embeddings)
Starpoint Sdk
⭐
5
Client SDK for starpoint.ai
Reverse Image Search Plugin
⭐
5
Find the images in your dataset most similar to a query image from URL or drag-and-drop, with FiftyOne!
Related Searches
Typescript Angular (35,567)
Typescript Reactjs (26,630)
Typescript Command Line (21,993)
Typescript Testing (21,336)
Typescript Nextjs (7,296)
Typescript Vue (5,971)
Typescript Html (5,128)
Typescript Redux (5,035)
Typescript Docker (4,994)
Typescript Nest (4,761)
1-23 of 23 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.