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Replit + Weights & Biases: Building a RAG Bot

Blog post from Replit

Post Details
Company
Date Published
Author
Bharat Ramanathan
Word Count
618
Company Posts That Month
12
Language
English
Hacker News Points
2
Post removed?
No
Summary

Weights & Biases has developed a question-answering bot named WandBot, built on top of OpenAI's GPT-4 and utilizing retrieval augmented generation (RAG) with a FAISS vector store, Cohere embeddings. WandBot provides efficient and accurate responses to user queries by integrating with various platforms like Discord, Slack, Zendesk, and ChatGPT's GPTs. The bot can be hosted on Replit in just a few clicks, offering ease of setup, robust community support, and seamless integrations. WandBot is driven by meticulous logging and analysis, allowing for continuous improvement and knowledge ingestion system to keep its responses up to date with the latest W&B features. The team behind WandBot is keen to accept community contributions and feedback to the codebase, making it a living example of a real-world RAG application in production.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
RAG 4 1,091 153 52 +46%
Data Pipeline 1 293 104 56 -5%
LLM 1 2,630 342 112 -8%
Vector Search 1 2,310 242 81 +35%
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