I'm new to how vector databases operate and the underlying concepts, especially when it comes to updating. I'm trying to apply the RAG pattern by combining a self hosted Qdrant database along with ChatGPT API. I'm creating embeddings by executing API calls to ChatGPT and saving them in Qdrant. Let's say I supplied contant of a document that contained proprietary information that was incorrect. How do I update my embeddings. If I only supply it with updated content, it would then contain contradictory information. Do I have to delete the whole collection and recreate it ?
Updating embeddings in vector databases
179 Views Asked by Mensur At
1
There are 1 best solutions below
Related Questions in CHATGPT-API
- Integrating Custom Trained ChatGPT Models for Individual Customer Accounts in a SaaS Offering
- Setting up an API Key in the MacOS terminal, for beginner
- Beginner, I am stuck on setting up to use the GPT 3.5 model in Jupyter Notebook?
- Connecting to Gemini Web Chat using Selenium in Python
- Why is my Python script not calling GPT-3.5-turbo API?
- Use private GPT model with company data
- Correct Array Format for Function Calling Open AI's ChatGPT
- Running ChatGPT programmatically - How to continue conversation without re-submitting all past messages?
- Building a Application with ChatGPT API: Managing Conversations for Multiple Users
- GPT python SDK introduces massive overhead / incorrect timeout
- How can an AI agent make a purchase?
- Discord.js Confusion (G4F Api)
- Multi-machine training bug when using Transformers-4.34.1
- openai.ChatCompletion out of date help migrate client.chat.completions
- Transformers // Predicting next transaction based on sequence of previous transactions // Sequence2One task
Related Questions in VECTOR-DATABASE
- Delete records in Datastax vector database
- Vespa not able to identify the embedding id during the query. even when it is in vald embedders list
- Install redis vector database on GCP in a GKE cluster
- Retrieving Vectors from existing Pinecone Vector Database
- Similarity search within vector database records
- How to pass in the page number of the relavant docs retrieved from a vector database into a custom tool in langchain
- Optimizing Data Insertion Efficiency in Milvus Collections: Addressing Delays with Minimal Data Sets
- Store FAISS vector store in some database like SQlite3
- Qdrant:vectordb:Which shard is at which node? It seems like all shards are on the two nodes out of 4Replicas
- LLM ignoring system prompt in llamaindex
- Langchain FAISS | Any solutions or alternatives for similarity search on vector DBs for slightly repetitive short words with numerics?
- Recommended approach for managing entries in a vector database when the embeddings are identical but their metadata differs?
- How to query LanceDB vector DB using Langchain api with filters?
- AttributeError: 'Pinecone' object has no attribute 'from_texts'
- use embeddings stored in vector db to reduce work for LLM generating response
Related Questions in QDRANT
- How to handle memory intensive task causing WorkerLostError with Celery and HuggingFaceEmbedding?
- Adding vecrtors to qdrant gives a validation error
- Qdrant:vectordb:Which shard is at which node? It seems like all shards are on the two nodes out of 4Replicas
- Qdrant filteration using nested object fields
- CERTIFICATE_VERIFY_FAILED when trying to use qdrant with docker-compose and https
- Qdrant client scroll filter does not work
- Qdrant vector db kubernetes deployment with custom context path
- Recommended approach for managing entries in a vector database when the embeddings are identical but their metadata differs?
- Qdrant payload index without filter
- Having one vector column for multiple text columns on Qdrant
- Qdrant: Which shard is at which node? It seems like all shards are on the same node
- Workaround for Filtering Datetime in Qdrant using Python SDK
- When I want to add a new point to the collection, should I create it from scratch?
- Using RAG and Vectorsearch to enumerate all entries matching a condition
- Issue with qdrant collection creation | Not sure about the format which input format support filter too
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular # Hahtags
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
You are correct. You will need to do two things: