vector-store
There are 44 repositories under vector-store topic.
milvus-io/milvus
Milvus is a high-performance, cloud-native vector database designed to scale.
akshata29/entaoai
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
rapidsai/raft
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.
rapidsai/cuvs
cuVS - a library for vector search and clustering on the GPU
ChuloAI/BrainChulo
Harnessing the Memory Power of the Camelids
databricks-industry-solutions/product-search
Semantic product search on Databricks
KenyonY/flaxkv
đź—˛ A high-performance on-disk dictionary.
ToxyBorg/llama_langchain_documents_embeddings
just testing langchain with llama cpp documents embeddings
Ashot72/AI-Chatbot
Multi-User Chatbot with Langchain and Pinecone in Next.JS
sharonmordechai/ai-assistant-with-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.
MohammedAly22/GenQuest-RAG
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
rpidanny/ShellyGPT
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.
AidanTilgner/Simple-Vector-Store
A simple way to convert and manage files in vector storage.
jayeshbhandarkar/AgriGenius
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.
concaption/minimem-vector-store
minimem is a minimal implementation of in-memory vector-store using only numpy
GabrieleLagani/MedAssistant
This is a toy Web application written in Flask, featuring a Medical Assistant Chatbot powered by Large Language Models (LLMs) and Retrieval Augmented Generation (RAG).
arsath-eng/RAG1-NVIDIA-GENAI
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
Ashad001/UltimateRAG
In Development
elastic/semantic-kernel-net
The official Elasticsearch .NET Vector Store Connector for Microsoft Semantic Kernel.
MANISH007700/ChatAI
LLM powered ChatAI system. Added support for HF Embeddings and Models too
petermchale/llm-powered-applications
Orchestrating the interaction between users and Large Language Models
sahilichake/Q_-_A_with_Multiple_PDFs
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.
danielivanovz/use-vector-store
React Hook for indexed-vector-store package
hanit-com/azure-openai-custom-chatgpt
🤖 An intelligent, context-aware chatbot that can be utilized to answer questions about your own documented data.
Pavansomisetty21/RAG-based-Intelligent-Conversational-AI-Agent-for-Knowledge-Extraction-Using-LangChain-Gemini-LLM
In this we implements a Retrieval-Augmented Generation (RAG) based conversational AI agent designed for intelligent knowledge extraction from PDF documents. Leveraging LangChain and Google’s Gemini LLM
riyoutube/RAG_MultiTypesLoader
Incorporar distintos tipos de documentos simultáneamente a la base de datos de embeddings Chroma con LangChain.
SK4P3/vector-vault
Vector Index / Vector Store implemented in go, nginx load balancing and an angular management frontend
karthik-monkey/quantgpt
AI-powered Financial Report Analysis Engine
siddharth-nandagopal/retail-rag
Retail-RAG: A Python-based Retrieval-Augmented Generation (RAG) system for business insights using OpenAI GPT and FAISS. Ingests retail data, generates embeddings, and enables semantic search for financial, customer, and operational insights. Scalable API layer for real-time data-driven decision-making.
huseyincenik/generative_ai
Generative AI Repository
LazaUK/AOAI-Assistants-VectorStore
Introduction to the process of uploading up to 10,000 files to the Vector Store object in Azure OpenAI's Assistants API.
Zeusmist/langchain-powered-ai-chatbot
An LLM powered chatbot that can answer questions based on your specific data