ro-anderson / multi-agent-rag-customer-supportLinks
Multi-Agent Retrieval-Augmented Generation (RAG) Customer Support System using Python, LangChain, and LangGraph.
☆37Updated 9 months ago
Alternatives and similar repositories for multi-agent-rag-customer-support
Users that are interested in multi-agent-rag-customer-support are comparing it to the libraries listed below
Sorting:
- FastAPI Backend for a Conversational Agent using Cohere, (Azure) OpenAI, Langchain & Langgraph and Qdrant as VectorDB☆227Updated last month
- ☆113Updated 7 months ago
- This software contains an agent based on LangGraph & LangChain for solving general requests in the Whatsapp channel of this medical clini…☆203Updated 9 months ago
- This repository will consist of advanced RAG applications.☆34Updated 11 months ago
- ☆203Updated 7 months ago
- Built using Open Source Stack (Llama 3.2 Model, BGE Embeddings, and Qdrant running locally within a Docker Container)☆145Updated 3 weeks ago
- Tutorial on how to create a ReAct agent without a LLM framework☆58Updated last year
- ☆113Updated 10 months ago
- Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , A…☆75Updated last year
- Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.☆95Updated 7 months ago
- A bot with memory, built on LangGraph Cloud.☆127Updated last year
- ☆149Updated 3 months ago
- Multi AI Agents System from Scratch in pure python without any frameworks.☆57Updated 8 months ago
- ☆66Updated 10 months ago
- Automate complex business workflows with our Multi-AI-Agent Systems using crewAI. This framework leverages autonomous, role-specific AI a…☆120Updated last year
- ☆59Updated last year
- Agentic RAG implementation using LangGraph☆30Updated last year
- ☆27Updated last year
- A library for evaluating Retrieval-Augmented Generation (RAG) systems (The traditional ways).☆37Updated 11 months ago
- Awesome LLM application repo☆85Updated 4 months ago
- Perplexity Lite using Langgraph, Tavily, and GPT-4.☆14Updated last year
- Questions? Contact me at @DhruvAtreja1☆288Updated 9 months ago
- Fine-tuning large language models (LLMs) is crucial for enhancing performance across domain-specific task applications. This comprehensiv…☆12Updated 10 months ago
- ☆69Updated last year
- Multi AI agents for customer support email automation built with Langchain & Langgraph☆130Updated 5 months ago
- How to build a Multi-Agentic Systems for RAG using LangGraph - Full project☆142Updated 6 months ago
- ☆143Updated 8 months ago
- ☆232Updated 7 months ago
- A practical RAG where you can download and chat with github repo☆83Updated 5 months ago
- Automated Data Analysis leveraging llms☆181Updated 6 months ago