http://
Parsio.io is a new tool for data extraction and optical character recognition on PDFs, allowing you to use ChatGPT on complex documents. OCR + AI chat is a huge deal.
AGENTS
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Parsio.io extracts data from PDFs with AI
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LangChain Wikibase Agent Implementation and Database Examples
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theres one for wikibase: https://
python.langchain.com/en/latest/use_
cases/agents/wikibase_agent.html
… got any other good example databases to implement one on? -
Abacus AI Launches New AI Agents for Quick Deployment
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Announcing #AI Agents from @abacusai You can now create and deploy AI agents quickly using @abacusai — to get AI to perform any task by chaining user code, data transforms, models, and prompts. The agent will execute each of your steps and even respond to your chat!
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Router Chains: LLM Selection Methods and Agent Use Cases
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Under the hood, these currently use LLMs to do the selection of the chain – but this can easily be swapped out with embedding similarity or any other method Can be viewed as a simple, one step agent that returns directly What are some other use cases for router chains?
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Forking and Routing: Building Blocks for AI Chain Construction
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Why add this? We view this as a basic building block for constructing chains Just as you could want to run a sequence of chains sequentially, there's also the basic building block of forking and routing to the correct chain What are some of the use cases?
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RouterChain Dynamic Prompt Selection with LangChain
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MultiPromptChain This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects the prompt to use for a given input Basically, route between prompts depending on user input! Docs: https://
python.langchain.com/en/latest/modu
les/chains/examples/multi_prompt_router.html
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MultiRetrievalQAChain: Dynamic Retrieval System Routing
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MultiRetrievalQAChain This notebook demonstrates how to use the RouterChain paradigm to create a chain that dynamically selects which Retrieval system to use Can be used to route questions to the correct retriever (based on content or intent) Docs: https://
python.langchain.com/en/latest/modu
les/chains/examples/multi_retrieval_qa_router.html
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Router Chains: LangChain Classification for Dynamic Chain Selection
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Router Chains A simple (yet much requested) abstraction that started with a @ShreyaR pr months ago and is finally in @langchain
! – Router Chain does classification to choose sub chain to use
– Call the selected chain with that input Lots of potential use cases! -
Perplexity AI integrates Wolfram Alpha for advanced problem solving
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Unlock the power of computational knowledge plus large language models with Perplexity AI + @Wolfram_Alpha 💪 Quickly and easily solve complex problems with accurate, detailed results. 🚀 Try it out today for free at https://t.co/ut3wdOwUEd. pic.twitter.com/emfdui9IHL
— Perplexity (@perplexity_ai) 4 mai 2023Unlock the power of computational knowledge plus large language models with Perplexity AI + @Wolfram_Alpha Quickly and easily solve complex problems with accurate, detailed results. Try it out today for free at http://
perplexity.ai. -
Wolfram|Alpha integrates with Perplexity for enhanced computation
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Wolfram|Alpha adds the ability to compute numbers, fetch real-time information, solve equations, render images, and much more. These capabilities augment the usual abilities of large language models to get you faster, more trustworthy answers on http://
perplexity.ai.