We've done a bunch of theoretical work on enabling agents to ask questions of tabular data – excited to share a project that is applying it Autonomous HR Chatbot by @Stepanogil Check out the code
@hwchase17
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Agent Architecture: Prompt, LLM, Parser Loop Deconstruction
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Interesting deconstruction of agents Most agents are prompt + LLM + output parser in a while loop This makes that explicit by forcing users to implement the while loop – more customizability
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Neo4j Vector Index Integration with LangChain for Graph Databases
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Want to use graph database and vector stores together? @neo4j now has a vector index. This means you can create vector representations for your nodes Read @tb_tomaz's excellent article on how this is integrated into LangChain:
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Real Builders Share Production Lessons in Next Webinar
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My favorite webinars are always when we have real builders on. There's a lot of lessons you learn by actually putting applications into production! That's why I'm so excited to have @Delphi_HQ on next week's webinar!
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Automating User Feedback Through Data Tracking
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Often times you don't get feedback from your users But if you're tracking everything, you can try to automate it somewhat!
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Tabular Data Retrieval: Deep Dive Webinar
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Tabular Data Retrieval Webinar Retrieval of tabular data has a lot of subtleties. I'm very excited to deep dive on this with @the_cube_dev and @Delphi_HQ next week!
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Audio Data Analysis with AssemblyAI Document Loader
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There's a lot of really cool data in audio files Big shout out to @patloeber and our friends at @AssemblyAI for adding a document loader This allows you to easily pull in and analyze (summarize, question) audio data!
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AI Ecosystem Resources and Partner Collaboration Announcement
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There are some great resources here! And crazy to see this amount of material over past few weeks Shout out to awesome partners @GregKamradt @pinecone @anyscalecompute @AssemblyAI
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Masking PII in Language Models with LangChain Expression Language
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This is great stuff from @MaksOpp and @deepsense_ai Let's you easily mask PII before passing it into the language model – and with LangChain Expression Language is very clear/easy how to plug that into your chain
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Using LLMs for Automatic Response Grading and Evaluation
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im assuming you mean use an LLM to grade responses automatically? @WHinthorn may some stuff coming