Software Alternatives & Reviews

LangChain VS Vectara Neural Search

Compare LangChain VS Vectara Neural Search and see what are their differences

LangChain logo LangChain

Framework for building applications with LLMs through composability

Vectara Neural Search logo Vectara Neural Search

Neural search as a service API with breakthrough relevance
Not present
  • Vectara Neural Search Landing page
    Landing page //
    2023-08-02

LangChain videos

LangChain for LLMs is... basically just an Ansible playbook

More videos:

  • Review - Using ChatGPT with YOUR OWN Data. This is magical. (LangChain OpenAI API)
  • Review - LangChain Crash Course: Build a AutoGPT app in 25 minutes!

Vectara Neural Search videos

No Vectara Neural Search videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to LangChain and Vectara Neural Search)
Utilities
75 75%
25% 25
Communications
100 100%
0% 0
Search Engine
0 0%
100% 100
AI
74 74%
26% 26

User comments

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Social recommendations and mentions

Based on our record, Vectara Neural Search should be more popular than LangChain. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

LangChain mentions (3)

  • ๐Ÿฆ™ Llama-2-GGML-CSV-Chatbot ๐Ÿค–
    Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / 30 days ago
  • ๐Ÿ‘‘ Top Open Source Projects of 2023 ๐Ÿš€
    LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / 2 months ago
  • ๐Ÿ†“ Local & Open Source AI: a kind ollama & LlamaIndex intro
    Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / 4 months ago

Vectara Neural Search mentions (13)

  • Launch HN: Danswer (YC W24) โ€“ Open-source AI search and chat over private data
    Nice to see yet another open source approach to LLM/RAG. For those who do not want to meddle with the complexity of do-it-youself, Vectara (https://vectara.com) provides a RAG-as-a-service approach - pretty helpful if you want to stay away from having to worry about all the details, scalability, security, etc - and just focus on building your RAG application. - Source: Hacker News / 3 months ago
  • Which LLM framework(s) do you use in production and why?
    You should also check us out (https://vectara.com) - we provide RAG as a service so you don't have to do all the heavy lifting and putting together the pieces yourself. Source: 5 months ago
  • Show HN: Quepid now works with vetor search
    Hi HN! I lead product for Vectara (https://vectara.com) and we recently worked with OpenSource connections to both evaluate our new home-grown embedding model (Boomerang) as well as to help users start more quantitatively evaluating these systems on their own data/with their own queries. OSC maintains a fantastic open source tool, Quepid, and we worked with them to integrate Vectara (and to use it to... - Source: Hacker News / 7 months ago
  • A Comprehensive Guide for Building Rag-Based LLM Applications
    RAG is a very useful flow but I agree the complexity is often overwhelming, esp as you move from a toy example to a real production deployment. It's not just choosing a vector DB (last time I checked there were about 50), managing it, deciding on how to chunk data, etc. You also need to ensure your retrieval pipeline is accurate and fast, ensuring data is secure and private, and manage the whole thing as it... - Source: Hacker News / 8 months ago
  • Do we think about vector dbs wrong?
    I agree. My experience is that hybrid search does provide better results in many cases, and is honestly not as easy to implement as may seem at first. In general, getting search right can be complicated today and the common thinking of "hey I'm going to put up a vector DB and use that" is simplistic. Disclaimer: I'm with Vectara (https://vectara.com), we provide an end-to-end platform for building GenAI products. - Source: Hacker News / 8 months ago
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What are some alternatives?

When comparing LangChain and Vectara Neural Search, you can also consider the following products

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.

txtai - AI-powered search engine

Hugging Face - The Tamagotchi powered by Artificial Intelligence ๐Ÿค—

Dify.AI - Open-source platform for LLMOps,Define your AI-native Apps

MiniGPT-4 - Minigpt-4

StableLM - StableLM: Stability AI Language Models. Contribute to Stability-AI/StableLM development by creating an account on GitHub.