There's been lots of chatbots announced recently Check out for an open source example of how to create one! @brunotorious
@langchain
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Improved Vectorstore Creation from Multiple Documents
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Easier support for creating vectorstores from many docs A common workflow is to embed many documents into a vectorstore @GradientAscent8 highlighted the need for improved functionality/documentation around this, and now it exists! https://
langchain.readthedocs.io/en/latest/exam
ples/data_augmented_generation/embeddings.html#From-Documents
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Multi-input Tools with Agents Documentation Improved
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Multi-input tools with agents It wasn't super clear how to use tools that require multiple inputs with agents bryan on discord called this out, and as a result there is improved documentation! https://
langchain.readthedocs.io/en/latest/exam
ples/agents/multi_input_tool.html
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LangChain v0.0.47: Community Updates and Agent Improvements
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v0.0.47 – lots of community initiated changes! Documentation Updates – @GradientAscent8 Easier support for creating vectorstores from many docs – s/o @GradientAscent8 Multi-input tools with agents Better parsing of agent output explanations:
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LangChain v0.0.46: Memory Bug Fix Enables Agents as Tools
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v0.0.46 ReadMe improvement from @altryne Bug fix for handling of memory, highlighted by @andrewgleave This fix now allows you to use chains & agents *with memory* as tools in other agents!! This means that agents can have much more powerful tools now
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LangChain AGI Demo Now Available on Hugging Face Spaces
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And now @JavaFXpert put this in a @huggingface spaces! https://
huggingface.co/spaces/JavaFXp
ert/langchain-agi
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GPT-3 Math Capabilities: Comparing GPT-3 with PAL Tool Integration
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Can GPT3 do math? Or do you need to hook it up to other tools to allow it to best do so? A really cool demo by @JavaFXpert allowing you to easily compare GPT3 vs GPT3 with PAL on @huggingface spaces!
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PAL: Combining LLMs with Python Interpreter for Better Reasoning
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PAL (
https://
arxiv.org/pdf/2211.10435
.pdf
…) is a method from @urialon1 @luyu_gao @aman_madaan combining LLMs with a python interpreter to achieve better results on numeric and reasoning tasks Check out the LangChain implementation/documentation here: https://
langchain.readthedocs.io/en/latest/exam
ples/chains/pal.html
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LangChain v0.0.45 Release: Redis Cache and Documentation Updates
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LangChain v0.0.45 Redis Cache support from @sjwhitmore Documentation improvements (one from @dheeraja486
, one highlighted by @altryne
) .gitignore improvements from @gojira -
LangChain v0.0.44: OpenAI Timeout, Azure Integration, HyDE
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v0.0.44 Timeout argument for OpenAI LLM – Sam Bean, @YouSearchEngine Azure OpenAI LLM integration – @gojira Hypothetical Document Embeddings, based on https://
arxiv.org/abs/2212.10496 – h/t @luyu_gao For docs on Azure OpenAI, see https://
langchain.readthedocs.io/en/latest/exam
ples/prompts/azure_openai_example.html
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