chatdocs
qdrant
| chatdocs | qdrant | |
|---|---|---|
| 11 | 142 | |
| 650 | 18,219 | |
| - | 4.8% | |
| 6.9 | 9.9 | |
| 8 months ago | 1 day ago | |
| Python | Rust | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
chatdocs
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Local LLMs GPUs
https://github.com/marella/chatdocs , this one, right? Takes close to a minute to answer
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Struggling with Local LLMs
https://github.com/marella/chatdocs , this one.
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Best commercially viable method to ask questions against a set of 30~ PDFs?
See here: https://github.com/marella/chatdocs#configuration (chatdocs.yml file, context_length)
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Document digest & oobabooga
What about chatdocs? I asked about it here and the author seems to be open to the idea.
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What is the best way to create a knowledge-base specific LLM chatbot ?
https://github.com/marella/chatdocs is a fork from privateGPT but with many added features, GPU support, chat UI. There is a reddit thread about it https://www.reddit.com/r/LocalLLaMA/comments/14174f4/chatdocs_privategpt_web_ui_gpu_support_more/
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Need help finding local LLM
and: https://github.com/marella/chatdocs
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Chatdocs with mixed language source documents
i played a bit around with chatdocs (https://github.com/marella/chatdocs) but unfortunately are my source documents mixed languages, german and english to be specific. The result heavily depends on the language the questions is asked in, which totally makes sense to me.
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Creating an Org Knowledge Management System
https://github.com/PromtEngineer/localGPT or https://github.com/marella/chatdocs
- FLaNK Stack Weekly for 12 June 2023
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You can now chat with your documents privately!
Sounds like a great project and I really like the YouTube tutorials. I haven't been able to get it to work inside WSL. I tried another project here with UI and it works https://github.com/marella/chatdocs
qdrant
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker.
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Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours.
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
I'm currently looking to implement locally, using QDrant [1] for instance.
I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2].
[1]. https://qdrant.tech/
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Show HN: A fast HNSW implementation in Rust
Also compare with qdrant's Rust implementation; they tout their performance. https://github.com/qdrant/qdrant/tree/master/lib/segment/src...
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
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Open-source Rust-based RAG
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb
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Qdrant 1.8.0 - Major Performance Enhancements
For more information, see our release notes. Qdrant is an open source project. We welcome your contributions; raise issues, or contribute via pull requests!
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Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance.
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7 Vector Databases Every Developer Should Know!
Qdrant is an open-source vector search engine optimized for performance and flexibility. It supports both exact and approximate nearest neighbor search, providing a balance between accuracy and speed for various AI and ML applications.
- Ask HN: Who is hiring? (February 2024)
What are some alternatives?
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Milvus - A cloud-native vector database, storage for next generation AI applications
Documize - Modern Confluence alternative designed for internal & external docs, built with Go + EmberJS
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
Olive - Olive is an easy-to-use hardware-aware model optimization tool that composes industry-leading techniques across model compression, optimization, and compilation.
faiss - A library for efficient similarity search and clustering of dense vectors.
roop - one-click face swap
pgvector - Open-source vector similarity search for Postgres
lance - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
documenso - The Open Source DocuSign Alternative.
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.