Topic: weaviate Goto Github
Some thing interesting about weaviate
Some thing interesting about weaviate
weaviate,Knowledge work automation with AI agents
Organization: agi-merge
Home Page: https://waggledance.ai
weaviate,Integrated LLM-based document and data Q&A with knowledge graph visualization
User: asehmi
Home Page: https://docs-n-data-knowledge-app.streamlit.app/
weaviate,An AI developer that writes LangChain Expression Language (LCEL).
User: christianrice
weaviate,Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications
Organization: contextdata
Home Page: https://contextdata.ai
weaviate,📃 A contracts clause summarization system using LLM and vector database
User: d1pankarmedhi
weaviate,An example showing how to use Weaviate in a TypeScript/JavaScript project, including test data and embedder projection
User: daandegroot123
weaviate,Multilingual Semantic Search with Reranking on a prepared large vectorized dataset comprising 10 million Wikipedia documents. It supports dense retrieval, keyword search, and hybrid search.
User: dcarpintero
Home Page: https://wikisearch.streamlit.app/
weaviate,Represent, send, store and search multimodal data
Organization: docarray
Home Page: https://docs.docarray.org/
weaviate,This repository contains the code and other resources used in OpenAI GPT for Python Developers (2nd Edition)
User: eon01
Home Page: https://amzn.to/3U99smX
weaviate,Text/Image search for similar products
User: esraamadi
weaviate,Python SDK for FirstBatch: Real-time personalization using vectorDBs
Organization: firstbatchxyz
Home Page: https://firstbatch.xyz
weaviate,Easily create semantic search based LLM applications
User: gutfeeling
Home Page: https://langsearch.dibya.online
weaviate,An integration of the weaviate vector search engine with txtai
User: hsm207
Home Page: https://pypi.org/project/weaviate-txtai/
weaviate,This project demonstrates how to parse emails, process them using OpenAI's GPT-3.5, and load the data into a Weaviate vector database for enhanced search capabilities. Utilizing few-shot prompts and parallel processing, it showcases the power of combining NLP techniques with vector search.
User: jjordanbaird
weaviate,Java version of LangChain
User: langchain4j
Home Page: https://docs.langchain4j.dev
weaviate,The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
Organization: mintplex-labs
Home Page: https://vectoradmin.com/
weaviate,Data pipelines and notebooks for RAG tuning using Fondant
Organization: ml6team
Home Page: https://fondant.ai/en/stable/
weaviate,Framework for benchmarking fully-managed vector databases
Organization: myscale
Home Page: https://myscale.github.io/benchmark
weaviate,The advanced Video Retrieval Tool developed for the competition in AI Challenge 2023 - Ho Chi Minh City. Seamlessly search, locate, and analyze videos using state-of-the-art AI techniques. Elevate your multimedia experience with our innovative solution.
User: nhathuy1305
weaviate,Ruby wrapper for the Weaviate vector search database API
Organization: patterns-ai-core
Home Page: https://rubydoc.info/gems/weaviate-ruby
weaviate,Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients
User: prrao87
weaviate,🤖🎙️ Explore Lex Fridman Podcast Transcripts with a smart chatbot!
User: qniksefat
Home Page: https://lexchat.streamlit.app
weaviate,An ORM for Weaviate Vector Database
User: ruby-ist
weaviate,A Microsoft .NET native client for Weaviate
Organization: searchpioneer
weaviate,🎩 Magic in Pocket / 🪄 口袋里的“魔法”.
User: soulteary
weaviate,Generate videos on any topic automatically, harnessing OpenAI for script generation, ElevenLabs for TTS, and Giphy and Unsplash for multimedia
User: tibiritabara
weaviate,Designed for offline use, this RAG application template is based on Andrej Baranovskij's tutorials. It offers a starting point for building your own local RAG pipeline, independent of online APIs and cloud-based LLM services like OpenAI.
User: tyrell
Home Page: https://tyrell.co
weaviate,This is a LlamaIndex project bootstrapped with create-llama to act as a full stack UI to accompany Retrieval-Augmented Generation (RAG) Bootstrap Application.
User: tyrell
Home Page: https://tyrell.co
weaviate,a Weaviate multimodal search demo
Organization: weaviate-tutorials
weaviate,This repository will contain a demo using Weaviate with data and metadata from the arXiv dataset.
Organization: weaviate
weaviate,Awesome Weaviate
Organization: weaviate
weaviate,Weaviate's own language vectorizer, which allows for semantic context-based searches in Weaviate
Organization: weaviate
Home Page: https://weaviate.io/developers/weaviate/modules/retriever-vectorizer-modules/text2vec-contextionary
weaviate,This repository contains an example of how to use the Weaviate vector search engine's text2vec-openai module
Organization: weaviate
weaviate,Weaviate connector for Apache Spark
Organization: weaviate
Home Page: https://weaviate.io/developers/weaviate/tutorials/spark-connector
weaviate,Official Weaviate TypeScript Client
Organization: weaviate
Home Page: https://www.npmjs.com/package/weaviate-client
weaviate,An embedded Weaviate database with TypeScript client interface
Organization: weaviate
Home Page: https://www.npmjs.com/package/weaviate-ts-embedded
weaviate,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.
Organization: weaviate
Home Page: https://weaviate.io/developers/weaviate/
weaviate,Weaviate vector database – examples
Organization: weaviate
weaviate,Website for the Weaviate vector database
Organization: weaviate
Home Page: https://weaviate.io
weaviate,A python native client for easy interaction with a Weaviate instance.
Organization: weaviate
Home Page: https://weaviate.io/developers/weaviate/current/client-libraries/python.html
weaviate,A package for creating GraphQL filters for Weaviate
User: wjbmattingly
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