13 questions with no answers
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How can I persist a db for MultiVectorRetriever?
I am trying to build a RAG from pdfs where I extract the text and tables. I want to use a persistent db in order to store the chunks, tables, embeddings e.t.c. and then reload the db and use the ...
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113
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How to expand context window based on metadata of the vector-store collection
I have a working RAG code, using Langchain and Milvus. Now I'd like to add the feature to look at the metadata of each of the extracted k documents, and do the following:
find the paragraph_id of ...
- 996
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73
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Error embedding content: 504 Deadline Exceeded
So when i try to generate embeddings from two different types of codes -
here is the one which is mentioned on the langchain site but this gives me deadline exceed
@lru_cache
def get_settings():
...
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116
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Llama Index Vector Store: filter a list of documents with a NOT feature
I have a vector store of documents, each document is a json document with features. I'd like to filter the documents according to some criteria. The problem is that some of the documents contain a NOT ...
- 923
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How do I use MergeDataLoader to tolerate multiple files that could be in either PDF or docx format?
I am writing a RAG chatbot that retrieves information from a given list of documents. The documents can be found in a set folder, and they could be either .pdf or .docx. I want to merge all the ...
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242
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Vector dimensions mismatch in OpenSearch vector store using BedrockEmbeddings
I'm using a vector store that I've created in AWS OpenSearch serverless. It has one index that has below configurations:
- Engine: faiss
- Precision: Binary
- Dimensions: 1024
- Distance Type: ...
- 11
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171
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OPENSSL_internal:CERTIFICATE_VERIFY_FAILED error when vector_store retriever is invoked
I'm in the midst of developing Genai app with
private data stored in vertex ai vector db
llm as gpt4
langhain as orchestrator
When I invoke vector_store retriever I get error:
OPENSSL_internal:...
- 760k
3
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350
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Error creating single-field vector index in Firestore with gcloud CLI
I'm trying to create a single-field vector index in my Firestore database using the gcloud command-line interface (CLI) to enable vector search functionality.
However, I keep getting this error:
...
CommunityBot
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526
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Not able to create asynchronous chromadb
I'd like to create a status_checker api endpoint in fastapi to track the creation of chromadb embeddings. Also I'd like to create these embeddings in async mode. Below is the code, but it is giving ...
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311
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Random"IndexError: list index out of range issue" OpenAI's "messages = list(client.beta.threads.messages.list(thread_id=thread.id, run_id = run.id))"
The code works a few iterations of the following:
Creating vector store
Upload individual file (to ensure clean and singular context)
Call OpenAI's "client.beta.threads.runs.create_and_poll"...
CommunityBot
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1
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180
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AttributeError: 'Tensor' object has no attribute 'embed_documents'
I have uploaded PDF file and split file into chunks, then apply tokenizer to each chunck and created embeddings. But when i try to store my embedding in FIASS, it give me AttributeError: 'Tensor' ...
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1k
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Load Chroma vectorstore from disk
I have created a vectorstore using Chroma and Langchain with three different collections and stored it in a persistent directory using the following code:
def create_embeddings_vectorstorage(splitted):...
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AttributeError: 'function' object has no attribute 'embed_query' using Langchain FAISS vectorstore
I'm following AWS Bedrock workshop here - https://github.com/aws-samples/amazon-bedrock-workshop/blob/main/03_QuestionAnswering/01_qa_w_rag_claude.ipynb. Everything is working fine until I go to the ...
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