Topic: neural-search Goto Github
Some thing interesting about neural-search
Some thing interesting about neural-search
neural-search,Shortest viable Jina program that actually does something useful
User: alexcg1
neural-search,Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
User: alexklibisz
Home Page: https://alexklibisz.github.io/elastiknn
neural-search,Fact checking baseline combining dense retrieval and textual entailment
User: anakin87
neural-search,Knowledge pills on Neural Search
User: anakin87
neural-search,Simple Question Answering system, based on data crawled from Twin Peaks Wiki. It is built using ๐ Haystack, an awesome open-source framework for building search systems that work intelligently over large document collections.
User: anakin87
neural-search,An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.
Organization: aquila-network
Home Page: https://aquila.network
neural-search,Everyting you need to know about Aquila Network Neural Search Ecosystem. Official repositories, client libraries, ecosystem projects, boilerplate, tutorials, learning and more..
Organization: aquila-network
Home Page: https://aquila.network
neural-search,Aquila Network Neural Search Engine technical specifications
Organization: aquila-network
Home Page: https://aquila.network
neural-search,[WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy models for search.
User: bhavsarpratik
neural-search,A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
User: birchkwok
neural-search,The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Organization: code-kern-ai
Home Page: https://www.kern.ai
neural-search,Official Python SDK for Kern AI refinery.
Organization: code-kern-ai
Home Page: https://www.kern.ai
neural-search,Represent, send, store and search multimodal data
Organization: docarray
Home Page: https://docs.docarray.org/
neural-search,MTEB: Massive Text Embedding Benchmark
Organization: embeddings-benchmark
Home Page: https://arxiv.org/abs/2210.07316
neural-search,Epsilla is a high performance Vector Database Management System. Try out hosted Epsilla at https://cloud.epsilla.com/
Organization: epsilla-cloud
Home Page: https://www.epsilla.com
neural-search,Kubernetes operator for Qdrant
User: ganochenkodg
neural-search,Doraemon Himitsu Dogu Japanese hybrid search based on Elascticsearch ANN x multi match
User: hurutoriya
neural-search,Article on Marqo + GPT3 for news summarisation
User: iain-mackie
neural-search,open source tooling for AI search and understanding
User: infrawhispers
Home Page: https://infrawhispers.github.io/anansi/
neural-search,โก A fast embedded library for approximate nearest neighbor search
Organization: jina-ai
neural-search,๐ Scalable embedding, reasoning, ranking for images and sentences with CLIP
Organization: jina-ai
Home Page: https://clip-as-service.jina.ai
neural-search,๐ A Human-in-the-Loop workflow for creating HD images from text
Organization: jina-ai
Home Page: grpcs://dalle-flow.dev.jina.ai
neural-search,Interactive UI for analyzing Jina logs, designing Flows and viewing Hub images
Organization: jina-ai
Home Page: https://dashboard.jina.ai
neural-search,Jina V1 Official Documentation. For the latest one, please check out https://docs.jina.ai
Organization: jina-ai
Home Page: https://docs1.jina.ai
neural-search,App store search example, using Jina as backend and Streamlit as frontend
Organization: jina-ai
Home Page: http://examples.jina.ai/games/
neural-search,Meme search engine built with Jina neural search framework. Search with captions or image files to find matching memes.
Organization: jina-ai
Home Page: https://examples.jina.ai/memes
neural-search,Input text or image, get back matching image fashion results, using Jina, DocArray, and CLIP
Organization: jina-ai
neural-search,Jina examples and demos to help you get started
Organization: jina-ai
Home Page: https://docs.jina.ai
neural-search,:dart: Task-oriented embedding tuning for BERT, CLIP, etc.
Organization: jina-ai
Home Page: https://finetuner.jina.ai
neural-search,โ๏ธ Build multimodal AI applications with cloud-native stack
Organization: jina-ai
Home Page: https://docs.jina.ai
neural-search,An open-registry for hosting Jina executors via container images
Organization: jina-ai
neural-search,A lightweight, customizable omnibox in Javascript, for use with a Jina backend.
Organization: jina-ai
Home Page: https://jina.ai/jinabox.js/
neural-search,A Python vector database you just need - no more, no less.
Organization: jina-ai
neural-search,PostgreSQL vector database extension for building AI applications
Organization: lanterndata
Home Page: https://lantern.dev
neural-search,่ชๆ็AIๅฃ็บขๆฐๆฎๅบ Smart AI Lipstick Database ๐
User: lhr0909
neural-search,SGPT: GPT Sentence Embeddings for Semantic Search
User: muennighoff
Home Page: https://arxiv.org/abs/2202.08904
neural-search,๐ก All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Organization: neuml
Home Page: https://neuml.github.io/txtai
neural-search,An Open-Source Package for Information Retrieval
Organization: openmatch
neural-search,๐ Easy-to-use and powerful NLP and LLM library with ๐ค Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including ๐Text Classification, ๐ Neural Search, โ Question Answering, โน๏ธ Information Extraction, ๐ Document Intelligence, ๐ Sentiment Analysis etc.
Organization: paddlepaddle
Home Page: https://paddlenlp.readthedocs.io
neural-search,The prime repository for state-of-the-art Multilingual Question Answering research and development.
Organization: primeqa
Home Page: https://primeqa.github.io/primeqa
neural-search,Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Organization: qdrant
Home Page: https://qdrant.tech
neural-search,Neural Search
User: raphaelsty
neural-search,Deploy Cherche using FastAPI and Docker
User: raphaelsty
neural-search,Neural Search
User: raphaelsty
Home Page: https://raphaelsty.github.io/neural-cherche/
neural-search,Tree-based indexes for neural-search
User: raphaelsty
Home Page: https://raphaelsty.github.io/neural-tree/
neural-search,Semantic search with embeddings: index anything
User: rom1504
neural-search,UI widget for adding semantic search to your React UI in just a few lines of code
Organization: vectara
Home Page: https://vectara.github.io/react-search/
neural-search,Official Weaviate TypeScript Client
Organization: weaviate
Home Page: https://www.npmjs.com/package/weaviate-client
neural-search,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 databaseโ.
Organization: weaviate
Home Page: https://weaviate.io/developers/weaviate/
neural-search,A small, flexible neural and data search engine, written in Julia. Batteries not included.
User: zgornel
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