Advanced Retrieval Webinar @langchain x @trychroma x @UnstructuredIO Retrieval is a key part of most GenAI systems. And there is a lot of nuance to it! Excited to bring together some leaders from across the stack to discuss it live next week!
@hwchase17
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LangChain Expression Language Discussion and Q&A Session
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Had a fun discussion with @nfcampos on Wednesday about our new LangChain Expression Language We also took some awesome questions from the audience! Check it out on YouTube now for some fun Friday viewing:
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Chat-Your-Data Starter Repo Updated with New Chains and LLMs
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Chat-Your-Data Update Our starter repo for creating a chatbot over your data has got an update! Big thanks to @bllchmbrs for updating it (new chains, new LLMs) The space moves fast, is great to have community members like Bill keeping us up-to-date!
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NVIDIA Guide Secures LLM Systems Against Prompt Injection
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A great (new) guide and overview on securing LLM systems against prompt injection by @nvidia We did a webinar on prompt injection a few months and the main takeaway was more awareness was needed around this. Great to see posts like this doing that
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GPT-4 Performance: Reliability and Future Model Improvements
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with gpt4 its fairly doable. a bit hit and miss with other models tho. i expect this to only improve
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Zep AI Expands Beyond Memory Module Capabilities
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You may know them from their memory module, now they're branching out Always fun to work with the @zep_ai team!
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Agent Retriever Tool Architecture for Decision-Making
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The basic idea: Give an agent a tool that is itself a retriever. The agent can then call this tool and get back a list of documents This allows the agent to decide when it wants to do retrieval – could do it once, twice, or not at all
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New Memory Type for Agent Tool Invocation Results
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We've also added a new type of memory This type of memory allows for using the results of previous tool invocations in future agent interactions This means if you ask a follow up question, you don't have to do retrieval all over again
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Smart Information Retrieval Strategies for AI Systems
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The benefits over normal retrieval include: – You don't do retrieval if the question isn't about the topic
– You don't do retrieval if the question is about previously mentioned topics
– You can do multiple retrieval steps
– You can retrieve from multiple sources -
Conversational Retrieval Agents: Advanced QA Systems
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I'll dive into details in this thread, but quick links: Blog: https://
blog.langchain.dev/conversational
-retrieval-agents/
… Python Docs: https://
python.langchain.com/docs/use_cases
/question_answering/how_to/conversational_retrieval_agents
… JS Docs: https://
js.langchain.com/docs/use_cases
/question_answering/conversational_retrieval_agents
…