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Represent, send, store and search multimodal data

The no-code platform for building custom LLM Agents

All-in-one platform for search, recommendations, RAG, and analytics offered via API

This repository contains various advanced techniques for Retrieval-Augmented Generation (RAG) systems.

The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.

Python client for Qdrant vector search engine

A minimal Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

On-premises conversational RAG with configurable containers

An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing

Serverless Modal + FastAPI + React + ColPali + Qdrant + GPT4o Vision RAG (V-RAG) Demo

Rust client for Qdrant vector search engine

A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.

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.

Your fully proficient, AI-powered and local chatbot assistant🤖

FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB

♾️ toolkit for air-gapped LLMs on consumer-grade hardware

Claude forgets everything. This fixes that. 🔗 www.npmjs.com/package/claude-self-reflect

⚡Ship RAG Solutions Quickly and effortlessly