Questions tagged [chromadb]
Chromadb is a vector database for building AI applications with embeddings. Tags should be included with the language it is being written with, such as Python.
chromadb
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Unable to create a vectorstore retriever using Chroma
I am trying to implement RAG with the GPT-3.5 api. However, my code execution gets stuck while trying to create the retriever. I didn't get this issue on Google Colab but I started getting this issue ...
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Your system has an unsupported version of sqlite3. Chroma requires sqlite3 >= 3.35.0
Here is the error i get:
Traceback (most recent call last):
from langchain_chroma import Chroma
File "D:\Internship_Developers_den\chtabot using rag\env\lib\site-packages\langchain_chroma_init_....
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An error occurred when building Vector store with Langchain
I am trying to work with the Chroma vector database from langchain but I get -1073741819 (0xC0000005)
loader = UnstructuredMarkdownLoader("./test.md")
docs = loader.load()
...
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Getting this error 'SegmentAPI' object has no attribute 'close'
I am using cromadb for vectorization in my flask application.
below is my vectordb.py code:-
import os
import shutil
from dotenv import load_dotenv
load_dotenv()
import re
from llama_index import (
...
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53
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Use chroma (database) local on c#
I want to use chroma in a c# project.
I alredy did a python project that stores chroma data local using chromadb.persistenClient. I don't want my data to be stored in an online server but rather local....
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RAG module - Batch size exceeds maximum batch size
i am using google gen ai as it is free(suggest any better for free) and using google gen ai embedding well
i am trying to get the file splitted into chunks and then embedded it using ...
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Chroma DB Creatation Kernal Dead Midway
I would like to create a ChromaDB with csv in a folder. In each of the csv, each line is a document (text). I am using Gemini embedding model.
My code do run. But the kernel will die after around 100 ...
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DSPy can't retrieve passage with text embeddings in ChromaDB
I am working on a RAG application using DSPy and ChromaDB for pdf files.
At first I fetched the text from the pdf and add it to the Chromadb as chunks. Also added the embeddings of the chunks. And ...
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flask application running on docker container cannot access Chromadb running on a seperate docker container
enter image description here
Hello So I have two docker containers running as shown in the image... One is a Chromadb for vector search and the other one is a flask backend for RAG chatbot.
Here is a ...
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How to get the vectorDB by chunk safely with Chroma.from_documents function?
When I use langchain and langchain_Chroma to create vectorDB for a long text, it just keeps running forever.
My text splitter setting is
text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, ...
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Chroma db reset enabling issue
I am just trying to reset a database hosted on a docker container:
import chromadb
from chromadb.config import Settings
client = chromadb.HttpClient(host="localhost", port=8000, settings=...
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160
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RAG using Langchain / Chroma - Unable to save more than 99 Records to Database
I'm using the following code to load the content of markdown files (only one file, in my case), split it into chunks and then embed and store the chunks one by one. My file is split into 801 chunks. ...
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Python ChromaDB Error - Unable to compute the prediction using a neural network model
I'm running this code attempting to add some data to a ChromaDB collection.
import ollama, chromadb, time
chroma_client = chromadb.Client()
#chroma_client = chromadb.HttpClient(host="localhost&...
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70
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Not able to upsert in Chroma DB
I've been trying to upsert my dataset to Chroma DB but each time the code just terminates with upserting.
collection = client.get_or_create_collection('data',embedding_function=...
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I am getting this error while building a RAG model
I am getting this error while building a RAG model while using qwen2 model instead of the default llama2 which chroma uses.
My code:
from langchain_community.embeddings import OllamaEmbeddings
from ...
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