Check out this great solution by my colleague David Sanchez. It combines some of the coolest MongoDB Atlas features (stream processing and vector search) to keep embeddings up-to-date. https://lnkd.in/e63UkMv6
Sebastian Richter’s Post
More Relevant Posts
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I wrote about the next step in creating a ShipFast application - Setting up MongoDB Atlas. I walk through the setup step by step with lots of screenshots. https://lnkd.in/gQ36nWnv
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MongoDB 8.0 is GA and built to perform! Read this blog by our CTO, Jim Scharf to learn more about the latest GA release. 👇 https://lnkd.in/ehNRUkgy
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MongoDB 8.0 is GA and built to perform! Read this blog by our CTO, Jim Scharf to learn more about the latest GA release. 👇 https://lnkd.in/gdTtKjyN
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MongoDB 8.0 is GA and built to perform! Read this blog post by our CTO, Jim Scharf to learn more about the latest GA release. 👇 https://lnkd.in/eZmFTmhA
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MongoDB 8.0 is GA and built to perform! Read this blog post by our CTO, Jim Scharf to learn more about the latest GA release. 👇 https://lnkd.in/e-QXMNds
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MongoDB 8.0 is GA and built to perform! Read this blog post by our CTO, Jim Scharf to learn more about the latest GA release. 👇 https://lnkd.in/gj-mgR8U
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MongoDB 8.0 is GA and built to perform! Read this blog by our CTO, Jim Scharf to learn more about the latest GA release. 👇 https://lnkd.in/eaiQ3kTi
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You can now use MongoDB as a semantic cache and message history store in LangChain. Shoutout to Jib Adegunloye for getting these features in. 🚀 Richmond Alake and I had a ton of fun testing them out. Read our tutorial for a detailed walkthrough of how to use these features specially if you are using LangChain to build RAG applications. Why are these features important? 💵 Semantic cache = fewer LLM calls = cost savings 🧠 Chat message history (memory) = richer context for LLMs = more grounded responses Link to the tutorial: https://lnkd.in/gvRnVFkp #artificialintelligence #langchain #mongodb #rag
We recently added a deep integration with MongoDB in a few key areas... AND we released some awesome references for getting started! 📃A blog on advanced RAG https://lnkd.in/gw97QA5S 💸Cutting LLM costs with a semantic cache https://lnkd.in/gZDvpUXJ Which one is your favorite?
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i will add this in my application
We recently added a deep integration with MongoDB in a few key areas... AND we released some awesome references for getting started! 📃A blog on advanced RAG https://lnkd.in/gw97QA5S 💸Cutting LLM costs with a semantic cache https://lnkd.in/gZDvpUXJ Which one is your favorite?
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MongoDB 8.0 is GA and built to perform! Read this blog by our CTO, Jim Scharf to learn more about the latest GA release. 👇 https://lnkd.in/gYTWrCmT
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