vectorstore

There are 5 repositories under vectorstore topic.

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/
ai chatgpt embeddings generative gpt gpt4all llama2 llm mixtral pdf private privategpt vectorstore
Language:Python 11717
SamurAIGPT / EmbedAI
An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
chatbot chatgpt embedai embeddings generative gpt gpt4 gpt4all langchain models openai privategpt vectorstore whisper
Language:JavaScript 2802
grumpyp / aixplora
AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.
audio chat chatbot chatgpt embeddings embeddings-model generativeai llm llms nlp openai ownfiles pdf question-answering search second-brain vectorstore
Language:TypeScript 270
hkh1012 / langboot
Using Langchain's ideas to build SpringBoot AI applications | 用langchain的**，构建SpringBoot AI应用
langchain openai springboot3 vectorstore baidu kimi zhipu
Language:Java 166
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.
faiss gemma gpt-3-5-turbo gpt-4 gradio huggingface llama2 llms mistral ollama openai python docs pdf web youtube chatbot retrieval-chatbot langchain vectorstore
Language:Python 144
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
langchain openai embeddings gpt-4 vectorstore azure-openai-service chatgpt azure
Language:Python 142
redis-developer / LLM-Document-Chat
Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog
llm rag redis retrieval-augmented-generation vector-database vectorstore
Language:Jupyter Notebook 111
safakan / TalkWithYourFiles
An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.
faiss langchain openai openai-chatgpt python streamlit dependency-inversion-principle factory-pattern question-answering strategy-pattern embeddings similarity-search vectorstore chunking text-processing docker
Language:Python 91
Abhi5h3k / PrivateDocBot
📚 Local PDF-Integrated Chat Bot: Secure Conversations and Document Assistance with LLM-Powered Privacy
chatgpt llm ai gpt gpt-4 gpt4all llama llama-2 llama-cpp llama2 llamacpp localai openai self-hosted generative pdf private privategpt vectorstore langchain
Language:Python 81
mariochavez / chroma
Ruby client for Chroma DB
llm ruby-gem vectorstore
Language:Jupyter Notebook 73
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 🧠
ai audio cha chat chatgpt csv embeddings generative gpt gpt4all llm models pdf private privategpt second-brain vectorstore whisper
Language:TypeScript 55
VectorVerse
abhishek-ch / VectorVerse
Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
chatbot chatgpt chromadb elasticsearch embeddings generative generativeai milvus nlp openai python qdrant redis streamlit vectorstore
Language:Python 48
suryanshgupta9933 / Law-GPT
Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.
gpt indian-law langchain langchain-python law llama2 llm vectorstore streamlit
Language:Python 40
ToxyBorg / Hugging-Face-Hub-Langchain-Document-Embeddings
Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering
document-embeddings faiss flan-ul2 huggingface langchain q-and-a similarity-search vectorstore
Language:Python 31
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。
azure-openai langchain llm quickstart qna vectorstore streamlit
Language:Python 28
unnikked / NotionRag
Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit
chromadb embeddings generativeai langchain llm openai question-answering rag retrieval-augmented-generation streamlit vectorstore
Language:Python 28
asehmi / docs-n-data-knowledge-app
Integrated LLM-based document and data Q&A with knowledge graph visualization
knowledge-graph langchain llama-index llm openai python streamlit vectorstore weaviate
Language:Python 21
vexvault
Xyntopia / vexvault
browser based vector storage
ai browser chatbot chatgpt database vectorstore vue
Language:TypeScript 21
zzstoatzz / raggy
scraping and querying documents for LLMs
llms rag scraping vectorstore
Language:Python 18
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
agent ai fastapi langchain python sse chroma vectorstore
Language:Python 17
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."
aws-benchmark hnsw knn-algorithm vector vectors vectorstore
Language:Jupyter Notebook 14
AliOsm / chromable
Ruby on Rails integration for ChromaDB
chromadb ruby-on-rails llms rails-gem semantic-search vectorstore
Language:Ruby 13
amellouki / cogniverse
Create LLM powered bots and port them into Discord & Slack
ai chatbot chatgpt gpt gpt-3 gpt-4 langchain langchain-js nestjs nextjs pinecone reactjs vectorstore discord-bot slack-bot
Language:TypeScript 13
3zcurdia / chroma
ChromaDB Client for elixir
hex-package vectorstore
Language:Elixir 12
minkj1992 / jarvis
Customized bot with langchain and gpt4
chatgpt langchain-python redis vectorstore docker-compose gpt langchain redis-search redis-stack chatbot fastapi websocket detectron2 unstructured google-palm vertexai
Language:Python 12
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.
ann embeddings golang hnsw vector vectorstore
Language:Go 11
younesbram / chat-with-repo
Ingest GitHub repo data into vectorstore with LangChain and create seamless Streamlit chatbot using GPT-4
gpt-4 langchain openai streamlit vectorstore
Language:Python 9
thijse / MemoryVectorStore
Sample of implementing a simple in-memory vector store
csharp embeddings large-language-models vector vectorstore chatgpt-api openai
Language:C# 8
JackBekket / Reflexia
Autodoc project, aimed to autonomously generating documentation for any code repository and store info about it in vectorstore to further interactions
ai documentation-tool langchain llm local-ai vectorstore
Language:Go 7
jolual2747 / rag-architecture
RAG Architecture for Modern Chatbots
ai chatbots embeddings langchain nlp rag transformers vectorstore
Language:Python 6
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!
ai azure-sql azure-sql-database azure-sql-db data-api-builder genai rag react vectors vectorstore
Language:TSQL 6
Benja1972 / VectorDB
Vector databases experimentation for the Knowledge Graphs and sentenceBERT embedding
knowledge-graph neo4j semantic-search streamlit vectordb vectorstore
Language:Python 5
bluetickconsultants / generative-AI
Generative AI projects using openAI, llama, langchain, vectordb
generativeai lancedb langchain llama2 openai vectordb vectorstore
Language:Jupyter Notebook 5
daixba / langchain-tutorials
Tutorials for LangChain
agent genai langchain llm rag vectorstore
Language:Jupyter Notebook 4
RaheesAhmed / openai-embeddings-api
Nodejs a REST API is designed to provide users with an interactive chat interface where they can ask questions and receive responses generated by an AI model. The application utilizes OpenAI embeddings and Langchain to process the user's input and generate relevant responses based on the context of the conversation.
api-development chatbot expressjs langchain nodejs openai openai-api openai-embeddings rest-api vectorstore langchain-nodejs
Language:JavaScript 4
leodeveloper / Chat-with-multiple-files-llamaindex
Creating a chat application that can handle multiple files using LlamaIndex, OpenAI, and Streamlit involves several steps
chat-application chatbot directory indexeddb indexing-engine llama-index machine-learning mechine-learing nuralnetwork openai pdf python3 similarity-search streamlit vector-database vectorstore
Language:Jupyter Notebook 2

vectorstore

h2oai / h2ogpt

SamurAIGPT / EmbedAI

grumpyp / aixplora

hkh1012 / langboot

jorge-armando-navarro-flores / chat_with_your_docs

linjungz / chat-with-your-doc

redis-developer / LLM-Document-Chat

safakan / TalkWithYourFiles

Abhi5h3k / PrivateDocBot

mariochavez / chroma

mamadoudicko / quivr-chatbot

abhishek-ch / VectorVerse

suryanshgupta9933 / Law-GPT

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

shiyindaxiaojie / eden-aigc-qna

unnikked / NotionRag

asehmi / docs-n-data-knowledge-app

Xyntopia / vexvault

zzstoatzz / raggy

gzlliyu / chatStreamAiAgent

aws-samples / gofast-hnsw

AliOsm / chromable

amellouki / cogniverse

3zcurdia / chroma

minkj1992 / jarvis

hupe1980 / vecgo

younesbram / chat-with-repo

thijse / MemoryVectorStore

JackBekket / Reflexia

jolual2747 / rag-architecture

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

Benja1972 / VectorDB

bluetickconsultants / generative-AI

daixba / langchain-tutorials

RaheesAhmed / openai-embeddings-api

leodeveloper / Chat-with-multiple-files-llamaindex