Memory is a bit ugly. Working on some improvements. Will try to add an example of this to the cookbook when back at computer. Ping me if I don’t by tmrw!
@hwchase17
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LangChain Graph QA Chains for AI Applications
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We’ve got a lot of graph qa chains https://
python.langchain.com/docs/use_cases
/graph/
… is that what you meant? -
Upcoming HTML Extraction Use Case Guide Announcement
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hah you'll love to see one of our upcoming use case guides then – extraction from html
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Structured Data Extraction from Unstructured Text with LLMs
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Extraction of structured data from unstructured text is a hugely impactful (tho less sexy) use case for LLMs Excited to have revamped docs on this use case
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LangSmith Integration: Upcoming Cookbooks and Resources
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We’re using langsmith! Will post some cookbooks for this soon
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Initial AI Implementation: Data Collection and Open Source Competition
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The initial implementation is pretty basic. Part of this is also to see what types of questions people ask We’ll probably gather data, make some improvements, then open source the data plus eval and turn it into a little competition to improve
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Improving Question Answering Systems for Tabular Data
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CSV Question Answering Most QA applications deal with asking questions of unstructured data. But a lot of data is in tabular (excel, csv) format! This has always been tricky to get right. We want to improve that! But we need your help
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CSV-LangChain App Lets Users Query Datasets Naturally
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We've set an example app to ask questions of a toy CSV (the Titanic dataset, a classic data science dataset) Access the app here: https://
csv-langchain.streamlit.app How you can help: try to break it! Ask questions that you would want it to be able to answer, and then leave feedback -
Advanced Retrieval Tools: Smart Splitting, Self-Query, Agents
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Deep dive on retrieval Excited to have the opportunity to talk about the advanced retrieval tools we're building: – smart text splitting
– self-query
– retrieval agents Even more excited to be joined by @UnstructuredIO @trychroma
… should be fun -
Chat with Data Anywhere Using LangChain and Ibis
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LLMs unlock capabilities for organizations to chat with data. But what if you want to chat with or ask questions of your own data, stored in different sources? Today we show how to use @langchain and @IbisData. https://
voltrondata.com/resources/use-
langchain-ibis-chat-with-data-stored-anywhere
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