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The current count function return the number of points for the entire collection,
Need to count points group by indexed field from the payload,
```
POST /collections/test_collection/points/coun…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Hello everyone,
I've been implementing a RAG system using Llama-Index and open-source…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Below is my code:
```
from llama_index.core import VectorStoreIndex,SimpleDirectoryR…
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OpenAI have a section of vector databases, which is a nice overview:
For searching over many vectors quickly, we recommend using a vector database. You can find examples of working with vector databa…
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(fleshing out a concept suggested by @luisquintanilla)
When ingesting data into a vector database, the input data (e.g. text) needs to be converted to embeddings. When the embeddings are stored in a …
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I'm running Qdrant vector database engine in Google Kubernetes and it was deployed by official Helm chart with minor modifications in values.yaml. It was running 3 replicas and I decided to increase i…
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## Description:
Implement basic data vectorization functionality for the sonnets and functionality for easily storing vectors into the Qdrant vector database used for this project. This will enable ef…
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I think it could be very useful to have a QSQL, or being optimist it could become an standard for vector databases, VSQL?
Instead of dealing with JSON in qdrant http api or all the methods in Python …
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I have managed to deploy privateGPT with sagemaker endpoints. I have used the following models
**LLM Model : Mistral 7B Instruct
Embeding Model: BGE Base En V1.5 (Its dimension is 768)**…
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As a user I want to be able to sort my knowledge to different collections.
If a user has lot's of documents it makes sense to use collections.
- [ ] Refactor indexing part
- [ ] Frontend needs …