Mendable(@mendableai) 's Twitter Profileg
Mendable

@mendableai

Build AI Chat apps in minutes (YC S22)

ID:1537947191209144322

linkhttps://firecrawl.dev calendar_today17-06-2022 23:56:17

617 Tweets

2,8K Followers

42 Following

Mendable(@mendableai) 's Twitter Profile Photo

People kept using Firecrawl πŸ”₯ to extract structured data from web pages with an LLM.

So, we added it as a built-in feature 🚒

Announcing LLM-extraction: Extract structured data from websites with a single API call πŸ‘‡

People kept using Firecrawl πŸ”₯ to extract structured data from web pages with an LLM. So, we added it as a built-in feature 🚒 Announcing LLM-extraction: Extract structured data from websites with a single API call πŸ‘‡
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Mendable(@mendableai) 's Twitter Profile Photo

We used FireCrawl to test the new secret 'gpt2-chatbot' model with scraped web data πŸ‘€

It is one of the strongest models we have used so far.

Here is it compared to Opus:

We used FireCrawl to test the new secret 'gpt2-chatbot' model with scraped web data πŸ‘€ It is one of the strongest models we have used so far. Here is it compared to Opus:
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Mendable(@mendableai) 's Twitter Profile Photo

Jason Zhou Just released an awesome video on Local Agentic RAG w/ llama3 πŸ¦™

It covers how you can build a reliable and accurate RAG system with Firecrawl πŸ”₯, LlamaIndex πŸ¦™ and LangChain

Go watch it πŸ‘‡

@jasonzhou1993 Just released an awesome video on Local Agentic RAG w/ llama3 πŸ¦™ It covers how you can build a reliable and accurate RAG system with Firecrawl πŸ”₯, @llama_index and @LangChainAI Go watch it πŸ‘‡
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Eric Ciarla(@ericciarla) 's Twitter Profile Photo

Detecting data conflicts with FireCrawl and LangChain 🧡

While building Mendable, we saw a common issue for companies doing RAG with lots of sources: data conflicts.

With LLMs, we can detect and report these conflicts. Our approach and a Replit β • Repl belowπŸ‘‡ (1/4)

Detecting data conflicts with FireCrawl and @LangChainAI 🧡 While building @mendableai, we saw a common issue for companies doing RAG with lots of sources: data conflicts. With LLMs, we can detect and report these conflicts. Our approach and a @Replit Repl belowπŸ‘‡ (1/4)
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Jason Zhou(@jasonzhou1993) 's Twitter Profile Photo

FireCrawl is totally leveling up the RAG game, have all your data unified in clean Markdown is big

Thanks for the shout out! Mendable

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