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Embedder

Feb 28, 2023

Question & Answer (Q&A) using LangChain.js

(This tutorial is intentionally oversimplified and overly instructive with the objective of helping make AI more approachable. Examples are from the LangChain library with more "hand holding" for those who need help getting started) Pre-requisites & ...

langchainers.hashnode.dev4 min read

#ai #langchain #openai #chatgpt #vector-similarity

Responses(5)

mohmed shafnaz

Dec 6, 2023

How we can get the unanswered question?

I am trying to use the vectoreStoreInfo but it doesnt work. have you tried that?

Rajan Panchal

Software Developer. AWS Certified

May 13, 2023

Hassan Alti

nada

Apr 26, 2023

Can you make a tutorial on how to combine feeding the model data with a conversational chatbot that retains memory? That way you can have a conversational chatbot trained on your own data

Muhammad Faizan

generalist with specialities...

Apr 17, 2023

You do realize that VectorDBQAChain is not in documentation, its strange I only find its reference here. However it is part of the library..

Embedder

Apr 17, 2023

Yes. We go deep into the LangChain code to find the features and functionality.

We have a number of new Tutorials queued up around vector concepts, vector DB and custom facts + LLMs. We go beyond LangChain in that series because it’s such an exciting area for us and we have had requests from many people because they want to learn more about vectorization, vector DBs and Embeddings.

dimitrije djordjevic

Mar 13, 2023

[Analyze Paide Linnameeskond vs FCI Levadia Tallinn football match].

Using sixteen websites, make a table of the easiest information you can attract to my stream, 3 reasons why goals will be like this , 3 main predictions and their 3 biggest criticisms.

Table format:

Acronyms (name) | Reasons for goals | Pain Points | Criticism | Surprise me