vectorstore | Topic | Ecosyste.ms: Repos

Topic: "vectorstore"

h2oai/h2ogpt

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

Language: Python - Size: 52.4 MB - Last synced at: 1 day ago - Pushed at: 29 days ago - Stars: 11,776 - Forks: 1,295

SamurAIGPT/EmbedAI

An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks

Language: JavaScript - Size: 96.7 KB - Last synced at: about 20 hours ago - Pushed at: almost 2 years ago - Stars: 2,805 - Forks: 299

grumpyp/aixplora

AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.

Language: TypeScript - Size: 8.36 MB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 272 - Forks: 32

hkh1012/langboot

Using Langchain's ideas to build SpringBoot AI applications | 用langchain的思想，构建SpringBoot AI应用

Language: Java - Size: 9.37 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 170 - Forks: 51

jorge-armando-navarro-flores/chat_with_your_docs

Discover and converse with advanced AI models like Mistral, LLAMA2, and GPT-3.5 from leading sources like OLLAMA, Hugging Face, and OpenAI. Easily extract insights from PDFs, web pages, and YouTube videos with our intuitive interface. Unlock the power of knowledge with seamless chat interactions.

Language: Python - Size: 10.1 MB - Last synced at: 5 days ago - Pushed at: 7 months ago - Stars: 147 - Forks: 14

linjungz/chat-with-your-doc

Chat with your docs in PDF/PPTX/DOCX format, using LangChain and GPT4/ChatGPT from both Azure OpenAI Service and OpenAI

Language: Python - Size: 34.5 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 142 - Forks: 49

RedisVentures/LLM-Document-Chat

Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog

Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 87 - Forks: 17

Abhi5h3k/PrivateDocBot

📚 Local PDF-Integrated Chat Bot: Secure Conversations and Document Assistance with LLM-Powered Privacy

Language: Python - Size: 2.39 MB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 83 - Forks: 19

Safakan/TalkWithYourFiles

An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.

Language: Python - Size: 802 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 70 - Forks: 9

mariochavez/chroma

Ruby client for Chroma DB

Language: Jupyter Notebook - Size: 105 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 55 - Forks: 4

abhishek-ch/VectorVerse

Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models

Language: Python - Size: 17 MB - Last synced at: 20 days ago - Pushed at: almost 2 years ago - Stars: 48 - Forks: 10

suryanshgupta9933/Law-GPT

Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.

Language: Python - Size: 2.71 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 29

shiyindaxiaojie/eden-aigc-qna

AIGC 知识库问答系统快速搭建，便于企业级定制化，支持文档上传，向量存储，聊天式问答。

Language: Python - Size: 1.18 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 32 - Forks: 9

unnikked/NotionRag

Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit

Language: Python - Size: 383 KB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 6

ToxyBorg/Hugging-Face-Hub-Langchain-Document-Embeddings

Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering

Language: Python - Size: 16.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 26 - Forks: 6

Xyntopia/vexvault

browser based vector storage

Language: TypeScript - Size: 1.55 MB - Last synced at: 22 days ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 2

zzstoatzz/raggy

scraping and querying documents for LLMs

Language: Python - Size: 2.46 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 18 - Forks: 0

mamadoudicko/quivr-chatbot

🧠 Quivr Chatbot extension - Instantly access Quivr, dump your files and chat with them using your Generative AI Second Brain using LLMs ( GPT 3.5/4, Private, Anthropic, VertexAI ) & Embeddings 🧠

Language: TypeScript - Size: 280 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 3

AliOsm/chromable

Ruby on Rails integration for ChromaDB

Language: Ruby - Size: 52.7 KB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 13 - Forks: 1

amellouki/cogniverse

Create LLM powered bots and port them into Discord & Slack

Language: TypeScript - Size: 801 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 13 - Forks: 1

3zcurdia/chroma

ChromaDB Client for elixir

Language: Elixir - Size: 112 KB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 4

minkj1992/jarvis

Customized bot with langchain and gpt4

Language: Python - Size: 4.61 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 0

hupe1980/vecgo

🧬🔍🗄️ Unlock the power of vector indexing and search in your Go applications with the HNSW algorithm for approximate nearest neighbor search, seamlessly embedded within your application.

Language: Go - Size: 91.8 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 11 - Forks: 1

aws-samples/gofast-hnsw

This project is a reference implementation of the Hierarchical Navigable Small World graph paper by Malkov & Yashunin (2018) as a companion to the AWS presentation by Ben Duncan (Startup Solution Architect) "What you need to know about Vector Databases. From use-cases to a deep dive on the technology."

Language: Jupyter Notebook - Size: 1020 KB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

JackBekket/Reflexia

Autodoc project, aimed to autonomously generating documentation for any code repository and store info about it in vectorstore to further interactions

Language: Go - Size: 14.8 MB - Last synced at: 12 days ago - Pushed at: 3 months ago - Stars: 9 - Forks: 7

gzlliyu/chatStreamAiAgent

使用LLM大模型、langchain、fastapi、agent等技术实现ai和用户聊天，并且支持本地向量库、api接口工具，支持http sse流式输出

Language: Python - Size: 31.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 0

asehmi/docs-n-data-knowledge-app

Integrated LLM-based document and data Q&A with knowledge graph visualization

Language: Python - Size: 16.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

thijse/MemoryVectorStore

Sample of implementing a simple in-memory vector store

Language: C# - Size: 3.14 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 2

yorek/azure-sql-db-ai-samples-search

A practical sample of RAG pattern applied to a real-world use case: make finding samples using Azure SQL easier and more efficient!

Language: TSQL - Size: 771 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 7 - Forks: 6

Benja1972/VectorDB

Vector databases experimentation for the Knowledge Graphs and sentenceBERT embedding

Language: Python - Size: 303 KB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

bluetickconsultants/generative-AI

Generative AI projects using openAI, llama, langchain, vectordb

Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: 9 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

stylepatrick/spring-ai-chat-bot

Demonstrates various AI functionalities using Spring AI, including chat responses, JSON data handling, image creation and description, real-time data loading, text-to-speech, and vector store usage.

Language: Java - Size: 8.32 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 2 - Forks: 2

webreactiva-devs/chat-langchain-nextjs

Chat para hablar con tus datos y OpenAI

Language: TypeScript - Size: 15.4 MB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

stiebo/spring-ai-samples

Spring AI, chat client, vector store, RAG, multimodality samples

Language: Java - Size: 160 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

boyac/pyGamgee

PyGamgee runs DeepSeek LLM with Ollama, using PyMuPDF for PDF extraction and FAISS for fast vector search. With LangChain RAG and conversation memory, it enables efficient, private document understanding—fully offline.

Language: Python - Size: 1.21 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

mcaimi/chromadb-ingestor

Simple ChromaDB Text Ingestor

Language: Python - Size: 124 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

octokas/go-kas

Go project that started as a way to create a template library for myself, but grew to be the backbone of "Pagey's PagerMate"

Language: Python - Size: 216 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

LazaUK/AOAI-LlamaIndex-VectorStore

Sample code to demo the use of LlamaIndex with Azure OpenAI GPT-4 and Embedding models in RAG implementation.

Language: Jupyter Notebook - Size: 108 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

tolopsy/documaster

Documaster API is DocumentGPT. It leverages LLMs to answer questions in the context of uploaded documents.

Language: Python - Size: 101 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

younesbram/chat-with-repo

Ingest GitHub repo data into vectorstore with LangChain and create seamless Streamlit chatbot using GPT-4

Language: Python - Size: 93.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Ashot72/LangChain-Documentation-Helper

LangChain Documentation Helper

Language: HTML - Size: 13.8 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

mattecasu/rag

LLM RAG over PDFs

Language: Python - Size: 792 KB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

FarazF19/Conversational-QnA-Chatbot

This project implements a production-ready Conversational (RAG) chatbot using LangChain, Groq’s LLaMA 3 model, ChromaDB, and HuggingFace embeddings. It supports persistent chat history across sessions using RunnableWithMessageHistory, and integrates modular prompting, document loading, and retriever-aware chains to handle context-aware multi-chats.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

ted-jung/LlamaIndex

LlamaIndex, Opensourced AI Framework

Language: HTML - Size: 118 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

alpacamale/counsel

AI counsel powered by large language model

Language: Python - Size: 3.91 KB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

diogoaltoe/langgraph-rag

This project leverages LangGraph to create dynamic and context-aware responses by integrating retrieved information into the generation process.

Language: Python - Size: 207 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

hediyeorhan/ChatbotProject_in_GraphStructure

Language: Python - Size: 9.09 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

hediyeorhan/VectorStore

Language: Python - Size: 6.11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Abdelrahman-Amen/RAG_Agent

This project uses LangChain agents and Google Generative AI to build a RAG system, combining LLMs with tools like Wikipedia, Arxiv, and custom retrievers for accurate, real-time answers.

Language: Jupyter Notebook - Size: 12.7 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

Abdelrahman-Amen/Multi_PDF_RAG_with_Groq

In this project, we developed a Streamlit app that uses Groq API and Google Generative AI for question-answering by embedding and retrieving content from multiple PDFs. The app leverages prompt engineering, RAG (Retrieval-Augmented Generation), and document chaining for accurate and context-based responses.

Language: Python - Size: 10.2 MB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

Abdelrahman-Amen/Question_Answering_from_Any_URL_with_RAG

In this project, users can input any URL and ask a question related to its content. Using Retrieval-Augmented Generation (RAG) and LangChain, the app retrieves the most relevant answer from the webpage.

Language: Python - Size: 1.84 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

VinitGurjar/Chat-with-PDFs

This AI tool helps you to chat with your PDFs just by uploading it in the web interface.

Language: Python - Size: 12.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

hase3b/SCPRAG

This repository implements a Retrieval-Augmented Generation (RAG) system for the Supreme Court of Pakistan, utilizing different LLMs, embedding models, and retrieval and generation enhancement strategies. It processes SCP judgments, applies chunking, and generates legal summaries and answers based on relevant case data.

Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0