hnsqlite
vault-ai
hnsqlite | vault-ai | |
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6 | 80 | |
143 | 3,225 | |
1.4% | - | |
5.5 | 5.7 | |
10 months ago | 9 months ago | |
Python | JavaScript | |
Apache License 2.0 | MIT License |
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hnsqlite
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LangChain: The Missing Manual
For anyone thinking about applications of langchain and pinecone but who are looking for something more turn-key check out https://jiggy.ai
The core is actually open source as well, allowing you to take your data back out via sqlite and hnswlib (https://github.com/jiggy-ai/hnsqlite)
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I built an open source website that lets you upload large files, such as in-depth novels or academic papers, and ask ChatGPT questions based on your specific knowledge base. So far, I've tested it with long books like the Odyssey and random research papers that I like, and it works shockingly well.
We are built on open core https://github.com/jiggy-ai. Our open source hnsqlite is light weight, easy to use. And best of all, we make it easy for you to get your data out of JiggyBase. You can download a sqlite file that contains your document text data, metadata, embedding vectors, and embedding index. This can be used directly in the open source hnsqlite package.
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What Is a Vector Database
After working through several projects that utilized local hnswlib and different databases for text and vector persistence, I integrated open source hnswlib with sqlite to create an embedded vector search engine that can easily scale up to millions of embeddings. For self-hosted situations of under 10M embeddings and less than insane throughput I think this combo is hard to beat.
https://github.com/jiggy-ai/hnsqlite
- Show HN: Hnsqlite: hnswlib and SQLite integrated for text embedding search
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Faiss: A library for efficient similarity search
Thanks Leobg!
For anyone else: you pass it directly in metadata see https://github.com/jiggy-ai/hnsqlite/blob/main/test/test_col...
vault-ai
- I built an open source website that lets you upload large files, such as in-depth novels/ebooks or academic papers, and ask GPT4 questions based on your specific knowledge base. So far, I've tested it with long books like the Odyssey and random research PDFs, and I'm shocked at how incisive it is.
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Any better alternatives to fine-tuning GPT-3 yet to create a custom chatbot persona based on provided knowledge for others to use?
There's this GitHub repo for Pinecone Vector with custom knowledge base: VaultAI. But I'm sure the costs would be exorbitant at scale. Basically trains it on specific files, but the API is expensive as expected. Edit: I didn't read and thought you were talking about training your own, sorry. But I'll leave the second paragraph up anyways lol. Someone mentioned LLaMA and another Falcon, the latter of which I hadn't heard of but which looks good too.
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I built an open source website that lets you upload large files such as academic PDFs or books and ask ChatGPT questions based on your custom knowledge base. So far, I've tried it with long ebooks like Plato's Republic, old letters, and random academic PDFs, and it works shockingly well.
Check out the instructions readme here! You may need a little bit of command line know-how but chatgpt can help guide you if you provide it the contents of the readme
- Are there any good free GPT-powered AI summarizer for very long text?
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I built an open source website that lets you upload large files, such as long ebooks or academic papers, and ask ChatGPT questions about your specific knowledge base. So far, I've tested it with long e-books like the Odyssey and random research PDFs, and I'm shocked at how incisive it is
Yes, this use-case is a perfect fit actually – This deals very well with any type of manual with lots of human readable text (as opposed to charts or code). It is also better at answering more specific questions, so the example you gave regarding diagnosing engine issues is a really good match for what this is capable of. If you want to try it out you can check out the deployed version of the code here: https://vault.pash.city
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Any help condensing academic journal articles using ChatGPT?
Have you tried Vault AI? Saw it pop up on a couple of other Reddits!
- OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (PDF, txt, epub, etc) using a simple React frontend.
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April 2023
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (https://github.com/pashpashpash/vault-ai)
- Using ChatGPT to read multiple PDFs and create writing using them as sources
What are some alternatives?
langchainrb - Build LLM-powered applications in Ruby
paper-qa - LLM Chain for answering questions from documents with citations
NeMo-Guardrails - NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
GPT4Memory
AGiXT - AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
raft - RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
ChatGPT-Pokemon-StyleGame - Using ChatGPT to make pokemon style game