#Pinecone
Showing 46 of 46 repositories tagged #pinecone, ranked by stars
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
A robust, all-in-one GPT interface for Discord. ChatGPT-style conversations, image generation, AI-moderation, custom indexes/knowledgebase, youtube summarizer, and more!
BabyAGI UI is designed to make it easier to run and develop with babyagi in a web app, like a ChatGPT.
Chat with any codebase in under two minutes | Fully local or via third-party APIs
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
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
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
🪿 LinGoose is a Go framework for building awesome AI/LLM applications.
Learn Cloud Applied Generative AI Engineering (GenEng) using OpenAI, Gemini, Streamlit, Containers, Serverless, Postgres, LangChain, Pinecone, and Next.js
A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.
Embeds text files into vectors, stores them on Pinecone, and enables semantic search using GPT3 and Langchain in a Next.js UI
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
A NodeJS RAG framework to easily work with LLMs and embeddings
A collection of apps powered by the LangChain LLM framework.
Mercury - Train your own custom GPT. Chat with any file, or website.
AI Chatbot for analyzing/extracting information from data in conversational format.
🤖 State-of-the-art, production ready LLM apps made mega-easy, so you don't have to build them from scratch 🤯 Create a bot, now 🫵
LLMs Best Tricks
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
A modern desktop application for exploring, managing, and analyzing vector databases
Xmem is a India's First open source multi-modal, multi-agentic long‑term memory layer for AI agents.
pdf reader app with note taking, annotations, collaboration, ai features (chat, flashcards generation w. ai-feedbacks), tts and ocr.
Open-source framework that gives you AI Agents that help you navigate decision-making, get personalized goals and execute them
Context intelligence layer for LLM agents: persistent memory with write-time dedup, sensitivity tagging, conflict detection, and hierarchical decay. ~12ms. No LLM calls. MIT.
Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG
Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.
Backend for SlideSpeak. Create PowerPoints with AI. Get summaries, ask questions, create presentations and more.
RAG-powered chatbot for Semantic SEO Q&A — GPT-3.5 + Pinecone + Streamlit
Sample Spring AI Application with several use cases
This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.
This chatbot lets you use your microphone to communicate with GPT-4. It uses the OpenAI text to speech to respond with a voice. It uses Pinecone to store long term information and retrieves it to create context. API keys for OpenAI and Pinecone required. Tested on Windows
The FunctionChain is a tool that simplifies and organizes the process of invoking OpenAI functions in your Node.js applications. With this toolkit, you can easily scaffold out and isolate all the OpenAI function calls you need, making your code more modular, maintainable, and scalable.
(WIP) A user-friendly, AI-powered task manager emphasizing efficient work over planning. Streamlines workflow with intelligent task generation & execution. Boost your productivity today!
An AI Assistant to answer user queries based on your own knowledge base!
Upload personal docs and Chat with your PDF files with this GPT4-powered app. Built with LangChain, Pinecone Vector Database, deployed on Streamlit
🏠 An AI real estate app featuring secure auth, conversation management, & personalized property recommendations. Powered by Agentic AI, RAG (w/ Pinecone), GraphRAG (w/ Neo4j), MCP, kNN, K‑Means Clustering, CoT, LangGraph, and a Mixture‑of‑Experts ensemble to deliver accurate, effective, and scalable AI insights. Also features a VS Code extension!
Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit
A modular web crawling and chat system that allows for ingesting website content through XML sitemaps, converting to vector embeddings, and providing AI-powered chat interfaces through multiple frontend options.
Campus Docs Assistant – Built to solve a common challenge in universities, this AI-powered chatbot uses LLMs, intelligent agents and RAG to make academic documents and institutional information easier to access and understand.
Using langchain framework created some useful Ai applications.
Multi-User Chatbot with Langchain and Pinecone in Next.JS