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Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management.

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- is there any way we could have streaming responses? just throwing this out here: https://sdk.vercel.ai/docs/concepts/streaming - opened on behalf of discord user cachho, [message link](https://discord.com/channels/1121119078191480945/1121119078858358846/1122545277891526747)

Adds number of documents as an optional argument. This is a very important feature for databases, that embed highly fractured, (short) documents (like my QnA). The number 1 is used...

This is my code: ```python import os os.environ["OPENAI_API_KEY"] = "sk-???" from embedchain import App naval_chat_bot = App() naval_chat_bot.add_local("pdf_file", "docs/masnavi-en.pdf") print(naval_chat_bot.query("Who is the most powerful man?")) ``` I get `chromadb.errors.DuplicateIDError: Expected...

Hi! Can we use custom LLM and Embedding models with it? Thanx

I would appreciate it if you add Huggingface embeddings, because it would be free to use, in contrast to OpenAI's embeddings, which uses ada I believe. So something along those...

i got the TypeError after running **my code:** ` import os os.environ["OPENAI_API_KEY"] = "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" from embedchain import App naval_chat_bot = App() naval_chat_bot.add("youtube_video", "https://www.youtube.com/watch?v=3qHkcs3kG44") naval_chat_bot.add("pdf_file", "https://navalmanack.s3.amazonaws.com/Eric-Jorgenson_The-Almanack-of-Naval-Ravikant_Final.pdf") naval_chat_bot.add("web_page", "https://nav.al/feedback") naval_chat_bot.add("web_page", "https://nav.al/agi") naval_chat_bot.add_local("qna_pair",...

There seems to be an error in the Readme file regarding the app instance name. It appears to be assigned as 'naval_ravikant_chat_bot_app' but the subsequent lines of code use 'naval_chat_bot'.

This PR will solve the following problem. When no similar document is found in the vector database or the vector database is empty,`result_formatted[0][0].page_content` will be triggered and `IndexError` will be...

Hi, is there are JS version of EmbedChain (similar to what was done with LangChainJS) in the works? Thanks for building this! David

some web pages are need login or paid,need curl to get content.i can create a PR