Multiple Memory support – @diwanksingh You can now easily create a new memory instance that is a combination of multiple other types of memory! You no longer have to pick just one Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/memory/examples/multiple_memory.html
…
@langchain
-
LangChain Multiple Memory Support Feature Release
By
–
-
WolframAlpha Integration Tool for LangChain Framework
By
–
WolframAlpha integration – @nickscamara_ Support for using Wolfram Alpha as a tool Collab Notebook: https://
colab.research.google.com/drive/1AAyEdTz
-Z6ShKvewbt1ZHUICqak0MiwR
… Documentation: https://
langchain.readthedocs.io/en/latest/modu
les/utils/examples/wolfram_alpha.html
… s/o to others @brucehammer for suggesting this a few weeks ago, and others in the discord for reviewing! -
v0.0.60 Release: WolframAlpha Integration and Memory Support
By
–
v0.0.60 – big release! WolframAlpha integration – @nickscamara_ Multiple Memory support – @diwanksingh Doc improvements – @Yoooongtae Return scores during semantic search – h/t @krrish_dh Add namespaces to @pinecone – @m_morzywolek Deployment templates
-
LangChain PR #578: Open Source AI Development Discussion
By
–
theres a pr open for exactly this! https://
github.com/hwchase17/lang
chain/pull/578
… any suggestions? -
Embeddings for semantic search in document context retrieval
By
–
im assuming by "using embeddings for context" you mean "using embeddings to do semantic search over a document store to select documents to insert into context"
-
Loading Different LLMs with Hugging Face Hub Integration
By
–
it should be easy, you can just load a different LLM and pass that in the same way an example huggingface hub notebook here: https://
langchain.readthedocs.io/en/latest/modu
les/llms/integrations/huggingface_hub.html
… -
LangChain Vector Database Question Answering Implementation
By
–
any particular implementations you looking for? here's one for question answering over a vector database: https://
langchain.readthedocs.io/en/latest/modu
les/chains/combine_docs_examples/vector_db_qa.html
… -
Question Answering on GitHub Repositories with LangChain
By
–
This is another great example of question answering over specific data (in this case a GitHub repo) Also we need to look into getting the `langchain` handle
-
Algovera AI explores blockchain integration opportunities
By
–
If you have any favorite chains… let @AlgoveraAI know!! Very excited for this
-
LangChain Improves Documentation for Existing AI Functionality
By
–
This functionality was already in LangChain (h/t @johnjnay for pushing to get it in in the first place) We've just improved documentation GREATLY around this capability, since it was a bit hidden s/o to people in the discord for making me realize we lacked documentation here