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Using [gensim](https://radimrehurek.com/gensim/models/word2vec.html) to build a word2Vec model based on over 1300 French texts from the nineteenth century, I am writing code that takes a pair of words…
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My dataset is creating an index of 10GB using Qdrant in langchain. I am creating both dense and sparse vectors. I am having issues with slow performance both creating the vectorstore ( took almost 6 d…
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
I have this code for knowledge graph construction and I am getting some results for the …
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**Related to:** https://github.com/elastic/kibana-team/issues/1173 (internal)
## Summary
Some of the tests owned by the Security Generative AI team make `text_expansion` queries which are deprecated…
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**Implement a Retrieval-Augmented Generation (RAG) chatbot that takes a PDF document as context to answer user queries using LangChain.** The solution should:
Load a PDF document and extract its te…
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ATM semantic vector search based localization strategy uses only the issue title, and description as it formulates the query for semantic vector search. It ignores the subsequent comments in the issue…
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It seems that the last update introduced a bug making impossible to use vector embeddings in falkorDB... My tests failed with the last update. I think that the client try to parse a scalar, instead of…
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[ ] I checked the [documentation](https://docs.ragas.io/) and related resources and couldn't find an answer to my question.
**Your Question**
I wrote this code and I get the error:
The api_key …
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### System Name
Qdrant
### Type
Materialize
### Details
Qdrant, similar to Elasticsearch or Pinecone is a popular vector database.
We use qdrant for various vector search tasks. These vectors …
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### Bug Description
When a VectorStoreIndex is created, it builds an index from the nodes which are supplied in the constructor. When I want to create a VectorStoreIndex from a VectorStore via Vector…