Added Custom Retreival agent utilizing Pinecone #28850
Closed
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
dosubot
bot
added
the
size:L
|
The latest updates on your projects. Learn more about Vercel for Git ↗︎ 1 Skipped Deployment
|
dosubot
bot
added
Ɑ: retriever
ccurme
reviewed
Dec 20, 2024
There was a problem hiding this comment.
Thanks for this. It's not clear to me what this cookbook is adding over the existing RAG/agent tutorial, which allows you to select a chat model / embedding / vector store.
This is also using some older abstractions, including LLMChain, RetrievalQA, ConversationBufferWindowMemory, and AgentExecutor. See more information and migration guides below:
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
"cookbook: Custom Retrieval Agent Using Pinecone DB"
Added a guide for setting up an agent tool to query datasets.
@haseebreyli
Dependencies:
datasetspandassentence_transformerspinecone-client