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Search results for llm vector database
llm
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vector-database
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38 search results found
Llama_index
⭐
30,412
LlamaIndex is a data framework for your LLM applications
Milvus
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25,219
A cloud-native vector database, storage for next generation AI applications
Deeplake
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7,743
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Txtai
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6,143
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Postgresml
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5,135
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Examples
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2,186
Jupyter Notebooks to help you get hands-on with Pinecone vector databases
Llm App
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1,573
LLM App is a production framework for building and serving AI applications and LLM-enabled real-time data pipelines.
Pgvecto.rs
⭐
986
Scalable Vector Search in Postgres. Revolutionize Vector Search, not Database.
Seagoat
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881
local-first semantic code search engine
Autollm
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769
Ship RAG based LLM web apps in seconds.
Neumai
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693
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
Canopy
⭐
685
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
Rag Demystified
⭐
610
An LLM-powered advanced RAG pipeline built from scratch
Llmflows
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565
LLMFlows - Simple, Explicit and Transparent LLM Apps
Large Language Model Notebooks Course
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393
Practical course about Large Language Models.
Bambooai
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317
A lightweight library that leverages Language Models (LLMs) to enable natural language interactions, allowing you to source and converse with data.
Agency
⭐
277
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
Azure Openai Llm Vector Langchain
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198
"Awesome-LLM: a curated list of Azure OpenAI & Large Language Model" 🔎References to Azure OpenAI, 🦙Large Language Models, and related 🌌 services and 🎋libraries.
Embedditor
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192
⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.
Pinecone Ts Client
⭐
144
The official TypeScript/Node client for the Pinecone vector database
Chatdata
⭐
118
ChatData 🔍 📖 brings RAG to real applications with FREE✨ knowledge bases. Now enjoy your chat with 6 million wikipedia pages and 2 million arxiv papers.
Redisvl
⭐
105
Redis Vector Library (RedisVL) enables Redis as a realtime vector database for LLM Applications.
Vectorhub
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95
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
Llm Document Chat
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87
Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog
Vector Cookbook
⭐
60
Timescale Vector Cookbook. A collection of recipes to build applications with LLMs using PostgreSQL and Timescale Vector.
Documentgpt
⭐
49
DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interface for interacting with your research document, exploring search results, and engaging in a conversation with an AI chatbot.
Biochatter
⭐
25
Backend library for conversational AI in biomedicine
Embedjs
⭐
25
A NodeJS RAG framework to easily work with LLMs and embeddings
Squaredev
⭐
21
The platform for developers building applications powered by LLMs
Gpt All Local
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15
A "chat with your data" example: using a large language models (LLM) to interact with our own (local) data. Everything is local: the embedding model, the LLM, the vector database. This is an example of retrieval-augmented generation (RAG): we find relevant sections from our documents and pass it to the LLM as part of the prompt (see pics).
Codeblaze.semantickernel
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13
Some Cool Semantic Kernel Plugins
Semantic Ai
⭐
11
An open source framework for Retrieval-Augmented System (RAG) uses semantic search helps to retrieve the expected results and generate human readable conversational response with the help of LLM (Large Language Model).
Openserver
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9
Open Server is an OpenAI API Compatible Server for generating text, images, embeddings, and storing them in vector databases. It also includes a chat functionality.
Llm Corpus
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8
手把手从零教你搭建大模型知识库(A local corpus base solution based on vector database and llm)
Bedrock Kb Rag Workshop
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7
Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)
Simplechat_llama2_mac_silicon
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6
A simple chat app with embeddings and vector database, exclusively for local execution on mac/apple silicon.
Azure Openai Redis Deployment
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6
End-to-end deployment of Azure OpenAI applications using Redis Enterprise as a vector database.
Newra
⭐
5
NewRA serves as an open-source alternative to AI-based chatbot applications, offering the ability to craft interactive AI-based chatbot with custom prompt input for various purposes such as Lead qualification, Product launch, User onboarding, and Customer support.
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