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Exa × Fireworks

Blog post from Exa

Post Details
Company
Exa
Date Published
Author
Exa Labs
Word Count
1,575
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

A tutorial outlines the process of building a real-time research paper discovery and briefing system using Exa and Fireworks AI technologies. Exa functions as a search engine to access real-time data on scientific papers from sources like arXiv and OpenReview, while Fireworks provides a scalable inference platform for embedding and summarization. The system involves several steps, including setting up API keys, configuring search parameters, extracting text content, and optionally reranking documents using Fireworks embeddings. Summaries of selected papers are generated using the DeepSeek V3.1 language model, which provides concise insights into the core ideas, methods, results, and relevance of the research. The tutorial includes a step-by-step code walkthrough and free API credits to enable users to implement the system themselves.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
AI Model Fine-tuning 16 532 129 59 -12%
Vector Search 12 1,668 286 111 +15%
Real-time 6 4,546 943 215 -38%
LLM 4 3,836 662 193 +2%
Serverless 1 707 172 77 -35%
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