Topic: vector-store Goto Github
Some thing interesting about vector-store
Some thing interesting about vector-store
vector-store,
User: aditya3012purwar
vector-store,Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions
User: akshata29
vector-store,
User: akshata29
vector-store,A set of Node-RED nodes for interfacing with Couchbase services.
User: allanbunch
vector-store,In Development
User: ashad001
vector-store,Multi-User Chatbot with Langchain and Pinecone in Next.JS
User: ashot72
vector-store,Harnessing the Memory Power of the Camelids
Organization: chuloai
vector-store,minimem is a minimal implementation of in-memory vector-store using only numpy
User: concaption
vector-store,React Hook for indexed-vector-store package
User: danielivanovz
Home Page: https://app.danielivanov.me/vector-database/
vector-store,Semantic product search on Databricks
Organization: databricks-industry-solutions
Home Page: https://www.databricks.com/solutions/accelerators/large-language-models-retail
vector-store,
User: divyansh3021
Home Page: https://huggingface.co/spaces/Divyanshh/nile
vector-store,🤖 An intelligent, context-aware chatbot that can be utilized to answer questions about your own documented data.
User: hanit-com
vector-store,Final Project for Information Retrival, this is an implementation that uses numpy of a vector store and a RAG PoC with ollama
User: jac-zac
vector-store,AgriGenius: AI-Powered Agriculture Chatbot is a Python web application designed to empower farmers with information accessibility. AgriGenius leverages a Retrieval-Augmented Generation model to address farmer's agricultural queries with precise answers.
User: jayeshbhandarkar
vector-store,Kubernetes-native package for Weaviate, an AI-native vector database that helps developers create intuitive and reliable AI-powered applications.
Organization: kadras-io
vector-store,🗲 A high-performance on-disk dictionary.
User: kenyony
vector-store,LLM powered ChatAI system. Added support for HF Embeddings and Models too
User: manish007700
Home Page: https://web-chatai.streamlit.app/
vector-store,A cloud-native vector database, storage for next generation AI applications
Organization: milvus-io
Home Page: https://milvus.io
vector-store,A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions
User: mohammedaly22
Home Page: https://genquest-rag.streamlit.app/
vector-store,A website that summarizes PDFs into simple paragraphs based on user's queries_using Streamlit, LangChain, OpenAI, and ChromaDB Docker Image technologies.
User: nourmag
vector-store,Orchestrating the interaction between users and Large Language Models
User: petermchale
vector-store,cuVS - a library for vector search and clustering on the GPU
Organization: rapidsai
Home Page: https://rapids.ai
vector-store,RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
Organization: rapidsai
Home Page: https://docs.rapids.ai/api/raft/stable/
vector-store,Incorporar distintos tipos de documentos simultáneamente a la base de datos de embeddings Chroma con LangChain.
User: riyoutube
Home Page: https://youtu.be/uTre_HyV7_Q
vector-store,A command-line tool that ingests documents and generates instant answers to your questions about those documents using ChatGPT, giving you the Sheldon Cooper you never had at your fingertips.
User: rpidanny
vector-store,Q & A with multiple pdf App is a Python application that allows you to ask questions about the PDFs you upload using natural language model to generate accurate answers to your queries.
User: sahilichake
vector-store,The AI Assistant uses OpenAI's GPT models and Langchain for agent management and memory handling. With a Streamlit interface, it offers interactive responses and supports efficient document search with FAISS. Users can upload and search pdf, docx, and txt files, making it a versatile tool for answering questions and retrieving content.
User: sharonmordechai
vector-store,Vector Index / Vector Store implemented in go, nginx load balancing and an angular management frontend
User: sk4p3
vector-store,Basic Vector DB DataStorage For Images/Audio/Text Embeddings. for nlp with vb.net
Organization: spydazwebai-nlp
Home Page: https://spydazwebai-nlp.github.io/Basic_VectorStore2023/
vector-store,
User: supanut1911
vector-store,just testing langchain with llama cpp documents embeddings
User: toxyborg
vector-store,An LLM powered chatbot that can answer questions based on your specific data
User: zeusmist
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