weaviate
There are 122 repositories under weaviate topic.
weaviate/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.
langchain4j/langchain4j
Java version of LangChain
docarray/docarray
Represent, send, store and search multimodal data
psychic-api/psychic
Data integration platform for LLMs. Connect to SaaS tools with turnkey auth and sync documents from N data sources with only one integration
Mintplex-Labs/vector-admin
The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.
weaviate/weaviate-examples
Weaviate vector database – examples
szpnygo/VecTextSearch
一个99%由OpenAI ChatGPT开发的项目。A project that is 99% developed by OpenAI ChatGPT.
agi-merge/waggle-dance
Knowledge work automation with AI agents
hkh1012/langchain-springboot
Using Langchain's ideas to build SpringBoot AI applications | 用langchain的**，构建SpringBoot AI应用
weaviate/weaviate-python-client
A python native client for easy interaction with a Weaviate instance.
webgrip/PuttyGPT
Full Spectrum AI
weaviate/awesome-weaviate
Awesome Weaviate
ma2za/telegram-llm-bot
Telegram LLM bot backed by OpenAI, Whisper, Beam, LLaMA, Weaviate, MinIO and MongoDB
myscale/vector-db-benchmark
Framework for benchmarking fully-managed vector databases
weaviate/typescript-client
Official Weaviate TypeScript Client
weaviate/weaviate-io
Website for the Weaviate vector database
patterns-ai-core/weaviate-ruby
Ruby wrapper for the Weaviate vector search database API
soulteary/portable-docker-app
🎩 Magic in Pocket / 🪄 口袋里的“魔法”.
weaviate/spark-connector
Weaviate connector for Apache Spark
prrao87/db-hub-fastapi
Async bulk data ingestion and querying in various document, graph and vector databases via their Python clients
weaviate/DEMO-text2vec-openai
This repository contains an example of how to use the Weaviate vector search engine's text2vec-openai module
yujiosaka/ChatIQ
ChatIQ is a versatile Slack bot using GPT & Weaviate-powered long-term memory to accomplish various tasks.
tyrell/llm-ollama-llamaindex-bootstrap
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.
christianrice/rag-coding-assistant
An AI developer that writes LangChain Expression Language (LCEL).
ml6team/fondant-usecase-RAG
Data pipelines and notebooks for RAG tuning using Fondant
tyrell/llm-ollama-llamaindex-bootstrap-ui
This is a LlamaIndex project bootstrapped with create-llama to act as a full stack UI to accompany Retrieval-Augmented Generation (RAG) Bootstrap Application.
asehmi/docs-n-data-knowledge-app
Integrated LLM-based document and data Q&A with knowledge graph visualization
Tibiritabara/cinescripter
Generate videos on any topic automatically, harnessing OpenAI for script generation, ElevenLabs for TTS, and Giphy and Unsplash for multimedia
sejaldua/inquizitive
An LLM-powered self-studying app using retrieval-augmented generation prompting | Streamlit LLM Hackathon 2023
firstbatchxyz/firstbatch-sdk
Python SDK for FirstBatch: Real-time personalization using vectorDBs
jjordanbaird/EmailVectorDB
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.
EsraaMadi/similarity-search-weaviate
Text/Image search for similar products
searchpioneer/weaviate-dotnet-client
A Microsoft .NET native client for Weaviate
weaviate/contextionary
Weaviate's own language vectorizer, which allows for semantic context-based searches in Weaviate
ma2za/docqa-stream
Document QA with FastAPI, Weaviate and Azure OpenAI
weaviate/typescript-embedded
An embedded Weaviate database with TypeScript client interface