Questions tagged [chromadb]

69 questions
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Looking for a ChromaDB Client Similar to pgAdmin or MongoDB Studio

I am currently working with ChromaDB for a project and I'm in need of a user-friendly client tool that can provide a graphical interface for managing and interacting with my ChromaDB instance. Much like pgAdmin for PostgreSQL and MongoDB Studio for…
Dinesh Sonachalam
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Very slow Response from LLM based Q/A query engine

I built a Q/A query bot over a 4MB csv file I have in my local, I'm using chroma for vector DB creation and with embedding model being Instructor Large from hugging face, and LLM chat model being LlamaCPP=llama2-13b-chat, The Vector Database created…
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Getting an error when trying to use ChromaDB

I am new to LangChain and I was trying to implement a simple Q & A system based on an example tutorial online. The code is as follows: from langchain.llms import LlamaCpp from langchain.llms import gpt4all from langchain.embeddings import…
adhok
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Install the correct onxruntime for chromadb with pip install

I am trying to install chromadb on my jupyter notebook (Anaconda) using: pip install chromadb I get error: ERROR: Could not find a version that satisfies the requirement onnxruntime>=1.14.1 (from chromadb) (from versions: 1.2.0, 1.3.0, 1.4.0,…
Victor
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How to delete documents in LangChain vectorstore

I am following LangChain's tutorial to create an example selector to automatically select similar examples given an input. example_selector = SemanticSimilarityExampleSelector.from_examples( # This is the list of examples available to select…
Yeti123
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How to create a vector database of huge set of enterprise documents?

This is a sort of a design question. I am VectorDB newbie. I am working on creating a LLM enable summarisation system for a huge set of documents. These documents will have a certain date in them. Users can be searching them on these dates. When the…
Tanmoy
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How can I add collections/object in Chroma database

I'm trying to run few documents through OpenAI’s text embedding API and insert the resulting embedding along with text in the Chroma database locally. sales_data = medium_data_split + yt_data_split sales_store = Chroma.from_documents( …
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langchain qa retrieval chain can't filter by specific docs

trying to use RetrievalQA with Chromadb to create a Q&A bot on our company's documents. general setup as below: import libs from langchain.vectorstores.chroma import Chroma # for storing and retrieving vectors from langchain.embeddings.openai import…
Liam Boyd
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Chroma database embeddings = none when using get()

I am a brand new user of Chroma database (and the associate python libraries). When I call get on a collection, embeddings is always none, even if embeddings are explicitly set/defined when adding documents to a collection (so it can't be an issue…
Adam Berry
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Is there a way to use a VectorstoreIndexCreator() with a huggingface cllm model? - Langchain

I'm simply trying to load a document (CSV) but I would like to use a custom llm and not the openAI one. from langchain.indexes import VectorstoreIndexCreator from langchain.document_loaders import DataFrameLoader loader = DataFrameLoader(dataframe,…
Lucas Azevedo
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How to see the Embedding of the documents with Chroma (or any other DB) saved in Lang Chain?

I can see everything but the Embedding of the documents when I used Chroma with Langchain and OpenAI embeddings. It always show me None for that Here is the code: for db_collection_name in tqdm(["class1-sub2-chap3", "class2-sub3-chap4"]): …
Deshwal
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Trying to do a docker build which fails at chromadb installation

I am trying to build a docker image for my python flask project. Seems like there is some issue with the below packages on which Chromadb build is dependent duckdb, hnswlib Below are the contents of the docker file. FROM…
Jason
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Llamaindex cannot persist index to Chroma DB and load later

I am creatign 2 apps using Llamaindex. One allows me to create and store indexes in Chroma DB and other allows me to later load from this storage and query. Here is my code to load and persist data to ChromaDB: import chromadb from chromadb.config…
user2966197
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Do LOWER results from Chroma's similarity_with_score mean HIGHER Accuracy?

I have a quick question: I'm using the Chroma vector store with LangChain. And I brought up a simple docsearch with Chroma.from_texts. I was initially very confused because i thought the similarity_score_with_score would be higher for queries that…
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chromadb.errors.NoIndexException: Index not found, please create an instance before querying

What does this mean? How can I load the following index? tree langchain/ langchain/ ├── chroma-collections.parquet ├── chroma-embeddings.parquet └── index ├── id_to_uuid_cfe8c4e5-8134-4f3d-a120-0510e189004f.pkl ├──…
jmunsch
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