Langxchange - RAG Agentic Framework

[Timothy Owusu]

Hello Developers

We write to introduce langxchange an AI developer toolkit, that can help developer quickly build  LLM Applications. 

LangXchange is a universal API and vector database helper suite that simplifies working with Large Language Models (LLMs) and modern vector databases across a wide range of platforms.

It provides ready-to-use helper classes to:

• Connect and interact with LLMs like OpenAI, Google GenAI, Claude, DeepSeek
• Generate and manage embeddings
• Store/query data in vector databases: Chroma, Pinecone, Milvus, FAISS, Qdrant, Weaviate, Elasticsearch, OpenSearch, and more
• Connect to and retrieve data from relational and NoSQL databases
• Preprocess and load data from CSV, JSON, and Excel files
• 
  

With #langxchange you can create your LLM application in minutes, create advanced AI agents that can observe, decide and take action, and use the outcomes to improve next actions to be taken. 

Explore the tool from pypi.org  - search langxchange. you can find all useful examples .
Interested member that want to contribute to the build can fill the form https://docs.google.com/forms/d/e/1FAIpQLSfY1gjMzcqUqFpaufHhDA1VhCK0kURnqQn7i8uns6F9NCJVMQ/viewform?usp=dialog

Regards

Timothy Owusu

linkedIn : linkedin.com/in/timothy-owusu-abb62417