There are 20 repositories under neural-search topic.
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
🌊 A Human-in-the-Loop workflow for creating HD images from text
MTEB: Massive Text Embedding Benchmark
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Epsilla is a high performance Vector Database Management System. Try out hosted Epsilla at https://cloud.epsilla.com/
SGPT: GPT Sentence Embeddings for Semantic Search
The prime repository for state-of-the-art Multilingual Question Answering research and development.
PostgreSQL vector database extension for building AI applications
An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
Neural Search
Neural Search
A lightweight, customizable omnibox in Javascript, for use with a Jina backend.
Semantic search with embeddings: index anything
Official Weaviate TypeScript Client
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
open source tooling for AI search and understanding
Input text or image, get back matching image fashion results, using Jina, DocArray, and CLIP
Kubernetes operator for Qdrant
Jina V1 Official Documentation. For the latest one, please check out https://docs.jina.ai
Everyting you need to know about Aquila Network Neural Search Ecosystem. Official repositories, client libraries, ecosystem projects, boilerplate, tutorials, learning and more..
UI widget for adding semantic search to your React UI in just a few lines of code